Overview

Brought to you by YData

Dataset statistics

Number of variables154
Number of observations10
Missing cells0
Missing cells (%)0.0%
Total size in memory12.1 KiB
Average record size in memory1.2 KiB

Variable types

Text3
Numeric151

Alerts

Rating has constant value "BBB+" Constant
FundaIndxint has unique values Unique
FundaIndxsga has unique values Unique
monthvwretd has unique values Unique
monthvwretx has unique values Unique
monthewretd has unique values Unique
monthewretx has unique values Unique
monthsprtrn has unique values Unique
monthspindx has unique values Unique
monthCAP1RET has unique values Unique
monthCAP2RET has unique values Unique
monthCAP3RET has unique values Unique
monthCAP4RET has unique values Unique
monthCAP5RET has unique values Unique
monthCAP6RET has unique values Unique
monthCAP7RET has unique values Unique
monthCAP8RET has unique values Unique
monthCAP9RET has unique values Unique
monthCAP10RET has unique values Unique
monthtotval has unique values Unique
monthtotcnt has unique values Unique
monthusdval has unique values Unique
monthusdcnt has unique values Unique
monthprtcnt has unique values Unique
monthtotret has unique values Unique
monthtotind has unique values Unique
monthcapret has unique values Unique
monthcapind has unique values Unique
monthincret has unique values Unique
monthincind has unique values Unique
SPIndvwretd has unique values Unique
SPIndvwretx has unique values Unique
SPIndewretd has unique values Unique
SPIndewretx has unique values Unique
SPIndtotval has unique values Unique
SPIndtotcnt has unique values Unique
SPIndusdval has unique values Unique
SPIndusdcnt has unique values Unique
SPIndspindx has unique values Unique
SPIndsprtrn has unique values Unique
SPporvwretd has unique values Unique
SPporvwretx has unique values Unique
SPporewretd has unique values Unique
SPporewretx has unique values Unique
SPportotval has unique values Unique
SPportotcnt has unique values Unique
SPporusdval has unique values Unique
SPporusdcnt has unique values Unique
SPporspindx has unique values Unique
SPporsprtrn has unique values Unique
usind2CRSPMEV1 has unique values Unique
usind2CRSPMEG1 has unique values Unique
usind2CRSPLCV1 has unique values Unique
usind2CRSPLCG1 has unique values Unique
usind2CRSPMIV1 has unique values Unique
usind2CRSPMIG1 has unique values Unique
usind2CRSPSCV1 has unique values Unique
usind2CRSPSCG1 has unique values Unique
usind2CRSPMEVT has unique values Unique
usind2CRSPMEGT has unique values Unique
usind2CRSPLCVT has unique values Unique
usind2CRSPLCGT has unique values Unique
usind2CRSPMIVT has unique values Unique
usind2CRSPMIGT has unique values Unique
usind2CRSPSCVT has unique values Unique
usind2CRSPSCGT has unique values Unique
stockvwretd has unique values Unique
stockvwretx has unique values Unique
stockvwTotVal has unique values Unique
stockvwUsdVal has unique values Unique
stockvwTotCnt has unique values Unique
stockvwUsdCnt has unique values Unique
stockewretd has unique values Unique
stockewretx has unique values Unique
stockewTotVal has unique values Unique
stockewUsdVal has unique values Unique
stockewTotCnt has unique values Unique
stockewUsdCnt has unique values Unique
stocksprtrn has unique values Unique
ustreb30ret has unique values Unique
ustreb30ind has unique values Unique
ustreb20ret has unique values Unique
ustreb20ind has unique values Unique
ustreb10ret has unique values Unique
ustreb10ind has unique values Unique
ustreb7ret has unique values Unique
ustreb7ind has unique values Unique
ustreb5ret has unique values Unique
ustreb5ind has unique values Unique
ustreb2ret has unique values Unique
ustreb2ind has unique values Unique
ustreb1ret has unique values Unique
ustreb1ind has unique values Unique
ustret90ret has unique values Unique
ustret90ind has unique values Unique
ustret30ret has unique values Unique
ustret30ind has unique values Unique
ustrecpiret has unique values Unique
ajexm has unique values Unique
ajpm has unique values Unique
cshtrm has unique values Unique
prccm has unique values Unique
prchm has unique values Unique
prclm has unique values Unique
trfm has unique values Unique
trt1m has unique values Unique
index_y has unique values Unique
CAPEI has unique values Unique
bm has unique values Unique
evm has unique values Unique
pe_op_basic has unique values Unique
pe_op_dil has unique values Unique
pe_exi has unique values Unique
pe_inc has unique values Unique
ps has unique values Unique
pcf has unique values Unique
npm has unique values Unique
opmbd has unique values Unique
opmad has unique values Unique
gpm has unique values Unique
ptpm has unique values Unique
cfm has unique values Unique
roa has unique values Unique
roe has unique values Unique
roce has unique values Unique
aftret_eq has unique values Unique
aftret_invcapx has unique values Unique
aftret_equity has unique values Unique
GProf has unique values Unique
equity_invcap has unique values Unique
debt_invcap has unique values Unique
totdebt_invcap has unique values Unique
capital_ratio has unique values Unique
cash_lt has unique values Unique
debt_at has unique values Unique
debt_ebitda has unique values Unique
lt_debt has unique values Unique
cash_debt has unique values Unique
lt_ppent has unique values Unique
dltt_be has unique values Unique
debt_assets has unique values Unique
debt_capital has unique values Unique
de_ratio has unique values Unique
at_turn has unique values Unique
rect_turn has unique values Unique
pay_turn has unique values Unique
sale_invcap has unique values Unique
sale_equity has unique values Unique
rd_sale has unique values Unique
adv_sale has unique values Unique
staff_sale has unique values Unique
accrual has unique values Unique

Reproduction

Analysis started2025-03-30 05:12:54.658016
Analysis finished2025-03-30 05:12:57.703812
Duration3.05 seconds
Software versionydata-profiling v0.0.dev0
Download configurationconfig.json

Variables

Distinct3
Distinct (%)30.0%
Missing0
Missing (%)0.0%
Memory size160.0 B
2025-03-30T10:42:57.904546image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5
Min length3

Characters and Unicode

Total characters50
Distinct characters14
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowFitch
2nd rowS&P
3rd rowMoody's
4th rowMoody's
5th rowS&P
ValueCountFrequency (%)
s&p 4
40.0%
moody's 4
40.0%
fitch 2
20.0%
2025-03-30T10:42:58.856469image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 8
16.0%
S 4
8.0%
& 4
8.0%
P 4
8.0%
M 4
8.0%
d 4
8.0%
y 4
8.0%
' 4
8.0%
s 4
8.0%
F 2
 
4.0%
Other values (4) 8
16.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 50
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
o 8
16.0%
S 4
8.0%
& 4
8.0%
P 4
8.0%
M 4
8.0%
d 4
8.0%
y 4
8.0%
' 4
8.0%
s 4
8.0%
F 2
 
4.0%
Other values (4) 8
16.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 50
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
o 8
16.0%
S 4
8.0%
& 4
8.0%
P 4
8.0%
M 4
8.0%
d 4
8.0%
y 4
8.0%
' 4
8.0%
s 4
8.0%
F 2
 
4.0%
Other values (4) 8
16.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 50
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
o 8
16.0%
S 4
8.0%
& 4
8.0%
P 4
8.0%
M 4
8.0%
d 4
8.0%
y 4
8.0%
' 4
8.0%
s 4
8.0%
F 2
 
4.0%
Other values (4) 8
16.0%

Rating
Text

Constant 

Distinct1
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size160.0 B
2025-03-30T10:42:59.220785image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters40
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowBBB+
2nd rowBBB+
3rd rowBBB+
4th rowBBB+
5th rowBBB+
ValueCountFrequency (%)
bbb 10
100.0%
2025-03-30T10:43:00.127335image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
B 30
75.0%
+ 10
 
25.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 40
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
B 30
75.0%
+ 10
 
25.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 40
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
B 30
75.0%
+ 10
 
25.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 40
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
B 30
75.0%
+ 10
 
25.0%

FundaIndxint
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08609886357
Minimum-0.8152709365
Maximum1.778924344
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)60.0%
Memory size160.0 B
2025-03-30T10:43:00.532860image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.8152709365
5-th percentile-0.6919774638
Q1-0.443668307
median-0.2375518377
Q30.5440998504
95-th percentile1.352677249
Maximum1.778924344
Range2.59419528
Interquartile range (IQR)0.9877681574

Descriptive statistics

Standard deviation0.7956746777
Coefficient of variation (CV)9.241407433
Kurtosis0.8873183593
Mean0.08609886357
Median Absolute Deviation (MAD)0.4061735952
Skewness1.133451426
Sum0.8609886357
Variance0.6330981928
MonotonicityNot monotonic
2025-03-30T10:43:00.936022image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.3489011828 1
10.0%
-0.4752573484 1
10.0%
0.6351125509 1
10.0%
1.778924344 1
10.0%
-0.5412854416 1
10.0%
-0.1357173823 1
10.0%
0.831708577 1
10.0%
0.2710617487 1
10.0%
-0.3393862932 1
10.0%
-0.8152709365 1
10.0%
ValueCountFrequency (%)
-0.8152709365 1
10.0%
-0.5412854416 1
10.0%
-0.4752573484 1
10.0%
-0.3489011828 1
10.0%
-0.3393862932 1
10.0%
ValueCountFrequency (%)
1.778924344 1
10.0%
0.831708577 1
10.0%
0.6351125509 1
10.0%
0.2710617487 1
10.0%
-0.1357173823 1
10.0%

FundaIndxsga
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2916390809
Minimum-0.9812003352
Maximum1.813666576
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)40.0%
Memory size160.0 B
2025-03-30T10:43:01.311070image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.9812003352
5-th percentile-0.8656103923
Q1-0.3096255334
median0.2746409736
Q30.6196752155
95-th percentile1.722385756
Maximum1.813666576
Range2.794866911
Interquartile range (IQR)0.9293007489

Descriptive statistics

Standard deviation0.9160029927
Coefficient of variation (CV)3.140878752
Kurtosis-0.5177490307
Mean0.2916390809
Median Absolute Deviation (MAD)0.5423552418
Skewness0.4329772757
Sum2.916390809
Variance0.8390614826
MonotonicityNot monotonic
2025-03-30T10:43:01.700970image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.9812003352 1
10.0%
-0.1838917377 1
10.0%
1.610820309 1
10.0%
0.3630696033 1
10.0%
1.813666576 1
10.0%
0.1862123439 1
10.0%
-0.3515367986 1
10.0%
-0.7243337953 1
10.0%
0.647558109 1
10.0%
0.5360265349 1
10.0%
ValueCountFrequency (%)
-0.9812003352 1
10.0%
-0.7243337953 1
10.0%
-0.3515367986 1
10.0%
-0.1838917377 1
10.0%
0.1862123439 1
10.0%
ValueCountFrequency (%)
1.813666576 1
10.0%
1.610820309 1
10.0%
0.647558109 1
10.0%
0.5360265349 1
10.0%
0.3630696033 1
10.0%

monthvwretd
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2431692628
Minimum-2.062525674
Maximum0.6488932413
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)40.0%
Memory size160.0 B
2025-03-30T10:43:02.170830image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.062525674
5-th percentile-2.047543005
Q1-0.4348138468
median0.168731197
Q30.4307066135
95-th percentile0.5751836329
Maximum0.6488932413
Range2.711418915
Interquartile range (IQR)0.8655204603

Descriptive statistics

Standard deviation1.008229129
Coefficient of variation (CV)-4.146203009
Kurtosis0.4099812895
Mean-0.2431692628
Median Absolute Deviation (MAD)0.3041843926
Skewness-1.348798632
Sum-2.431692628
Variance1.016525976
MonotonicityNot monotonic
2025-03-30T10:43:02.756276image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.04947955278 1
10.0%
0.6488932413 1
10.0%
0.3406152513 1
10.0%
0.109860073 1
10.0%
-0.5632586115 1
10.0%
-2.029230855 1
10.0%
0.2276023209 1
10.0%
0.4607370676 1
10.0%
0.4850941116 1
10.0%
-2.062525674 1
10.0%
ValueCountFrequency (%)
-2.062525674 1
10.0%
-2.029230855 1
10.0%
-0.5632586115 1
10.0%
-0.04947955278 1
10.0%
0.109860073 1
10.0%
ValueCountFrequency (%)
0.6488932413 1
10.0%
0.4850941116 1
10.0%
0.4607370676 1
10.0%
0.3406152513 1
10.0%
0.2276023209 1
10.0%

monthvwretx
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03793090702
Minimum-2.138800315
Maximum1.795164557
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)30.0%
Memory size160.0 B
2025-03-30T10:43:03.291780image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.138800315
5-th percentile-1.764785854
Q1-0.5711325425
median0.3557187056
Q30.6395059682
95-th percentile1.331253996
Maximum1.795164557
Range3.933964871
Interquartile range (IQR)1.210638511

Descriptive statistics

Standard deviation1.143849225
Coefficient of variation (CV)30.15612635
Kurtosis0.2869014884
Mean0.03793090702
Median Absolute Deviation (MAD)0.3483086946
Skewness-0.6485931076
Sum0.3793090702
Variance1.308391049
MonotonicityNot monotonic
2025-03-30T10:43:03.978718image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.06900551136 1
10.0%
-0.7845118938 1
10.0%
0.2599214691 1
10.0%
-1.307657068 1
10.0%
1.795164557 1
10.0%
0.7642521986 1
10.0%
-2.138800315 1
10.0%
0.6266160675 1
10.0%
0.451515942 1
10.0%
0.6438026017 1
10.0%
ValueCountFrequency (%)
-2.138800315 1
10.0%
-1.307657068 1
10.0%
-0.7845118938 1
10.0%
0.06900551136 1
10.0%
0.2599214691 1
10.0%
ValueCountFrequency (%)
1.795164557 1
10.0%
0.7642521986 1
10.0%
0.6438026017 1
10.0%
0.6266160675 1
10.0%
0.451515942 1
10.0%

monthewretd
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.169560482
Minimum-2.244802908
Maximum0.7207730491
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)40.0%
Memory size160.0 B
2025-03-30T10:43:04.642870image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.244802908
5-th percentile-1.772063291
Q1-0.3055230184
median0.04843392413
Q30.4387589718
95-th percentile0.6270974146
Maximum0.7207730491
Range2.965575957
Interquartile range (IQR)0.7442819902

Descriptive statistics

Standard deviation0.9125032477
Coefficient of variation (CV)-5.381579698
Kurtosis2.197353867
Mean-0.169560482
Median Absolute Deviation (MAD)0.4154685322
Skewness-1.56115946
Sum-1.69560482
Variance0.8326621771
MonotonicityNot monotonic
2025-03-30T10:43:05.262635image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.5126049724 1
10.0%
0.7207730491 1
10.0%
-2.244802908 1
10.0%
-0.38553824 1
10.0%
0.4188394139 1
10.0%
-0.06547735376 1
10.0%
0.08265595945 1
10.0%
-1.194270427 1
10.0%
0.4453988244 1
10.0%
0.01421188882 1
10.0%
ValueCountFrequency (%)
-2.244802908 1
10.0%
-1.194270427 1
10.0%
-0.38553824 1
10.0%
-0.06547735376 1
10.0%
0.01421188882 1
10.0%
ValueCountFrequency (%)
0.7207730491 1
10.0%
0.5126049724 1
10.0%
0.4453988244 1
10.0%
0.4188394139 1
10.0%
0.08265595945 1
10.0%

monthewretx
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1802857277
Minimum-2.174323564
Maximum1.701429244
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)50.0%
Memory size160.0 B
2025-03-30T10:43:05.803447image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.174323564
5-th percentile-2.042189256
Q1-1.459859476
median-0.004530778173
Q30.9465344186
95-th percentile1.45016574
Maximum1.701429244
Range3.875752808
Interquartile range (IQR)2.406393895

Descriptive statistics

Standard deviation1.39592263
Coefficient of variation (CV)-7.742834935
Kurtosis-1.563685326
Mean-0.1802857277
Median Absolute Deviation (MAD)1.055190643
Skewness-0.2362976132
Sum-1.802857277
Variance1.94859999
MonotonicityNot monotonic
2025-03-30T10:43:06.331720image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-2.174323564 1
10.0%
-1.880691769 1
10.0%
-1.693266175 1
10.0%
0.9582538262 1
10.0%
1.701429244 1
10.0%
-0.7596393805 1
10.0%
0.314203733 1
10.0%
0.9113761958 1
10.0%
-0.3232652893 1
10.0%
1.143065903 1
10.0%
ValueCountFrequency (%)
-2.174323564 1
10.0%
-1.880691769 1
10.0%
-1.693266175 1
10.0%
-0.7596393805 1
10.0%
-0.3232652893 1
10.0%
ValueCountFrequency (%)
1.701429244 1
10.0%
1.143065903 1
10.0%
0.9582538262 1
10.0%
0.9113761958 1
10.0%
0.314203733 1
10.0%

monthsprtrn
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2067951234
Minimum-1.952486873
Maximum1.367985307
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)60.0%
Memory size160.0 B
2025-03-30T10:43:06.818940image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.952486873
5-th percentile-1.911474787
Q1-0.5762732106
median-0.1576017329
Q30.4910533349
95-th percentile1.206955576
Maximum1.367985307
Range3.32047218
Interquartile range (IQR)1.067326545

Descriptive statistics

Standard deviation1.093212115
Coefficient of variation (CV)-5.28645017
Kurtosis-0.4161449671
Mean-0.2067951234
Median Absolute Deviation (MAD)0.6425916702
Skewness-0.384018042
Sum-2.067951234
Variance1.195112729
MonotonicityNot monotonic
2025-03-30T10:43:07.341021image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1.01014146 1
10.0%
1.367985307 1
10.0%
-1.952486873 1
10.0%
-0.359437274 1
10.0%
-0.2181038984 1
10.0%
-1.861348904 1
10.0%
0.6366314844 1
10.0%
-0.6485518561 1
10.0%
-0.0970995674 1
10.0%
0.05431888645 1
10.0%
ValueCountFrequency (%)
-1.952486873 1
10.0%
-1.861348904 1
10.0%
-0.6485518561 1
10.0%
-0.359437274 1
10.0%
-0.2181038984 1
10.0%
ValueCountFrequency (%)
1.367985307 1
10.0%
1.01014146 1
10.0%
0.6366314844 1
10.0%
0.05431888645 1
10.0%
-0.0970995674 1
10.0%

monthspindx
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.107851277
Minimum-0.7803016539
Maximum0.8771019788
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)50.0%
Memory size160.0 B
2025-03-30T10:43:07.829680image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.7803016539
5-th percentile-0.7161998031
Q1-0.4029004964
median-0.005431430499
Q30.7378663688
95-th percentile0.8706647319
Maximum0.8771019788
Range1.657403633
Interquartile range (IQR)1.140766865

Descriptive statistics

Standard deviation0.6411329582
Coefficient of variation (CV)5.944602385
Kurtosis-1.743097315
Mean0.107851277
Median Absolute Deviation (MAD)0.6390214602
Skewness-0.0133847003
Sum1.07851277
Variance0.4110514701
MonotonicityNot monotonic
2025-03-30T10:43:08.395125image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.1021289209 1
10.0%
0.8627969858 1
10.0%
-0.6378530967 1
10.0%
-0.1586744437 1
10.0%
0.7704252171 1
10.0%
-0.1129917819 1
10.0%
0.8771019788 1
10.0%
-0.4843091806 1
10.0%
-0.7803016539 1
10.0%
0.6401898237 1
10.0%
ValueCountFrequency (%)
-0.7803016539 1
10.0%
-0.6378530967 1
10.0%
-0.4843091806 1
10.0%
-0.1586744437 1
10.0%
-0.1129917819 1
10.0%
ValueCountFrequency (%)
0.8771019788 1
10.0%
0.8627969858 1
10.0%
0.7704252171 1
10.0%
0.6401898237 1
10.0%
0.1021289209 1
10.0%

monthCAP1RET
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07371123184
Minimum-1.363039659
Maximum1.580232587
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)50.0%
Memory size160.0 B
2025-03-30T10:43:08.900748image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.363039659
5-th percentile-1.149366652
Q1-0.5978942474
median-0.03508380869
Q30.7773086386
95-th percentile1.378191679
Maximum1.580232587
Range2.943272246
Interquartile range (IQR)1.375202886

Descriptive statistics

Standard deviation0.9460699655
Coefficient of variation (CV)12.83481421
Kurtosis-0.9922934578
Mean0.07371123184
Median Absolute Deviation (MAD)0.7393751932
Skewness0.1322207388
Sum0.7371123184
Variance0.8950483796
MonotonicityNot monotonic
2025-03-30T10:43:09.496380image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.8460135447 1
10.0%
-0.6607072483 1
10.0%
0.101764073 1
10.0%
-0.1719316904 1
10.0%
0.5711939206 1
10.0%
1.13125279 1
10.0%
1.580232587 1
10.0%
-0.409455245 1
10.0%
-0.8882107554 1
10.0%
-1.363039659 1
10.0%
ValueCountFrequency (%)
-1.363039659 1
10.0%
-0.8882107554 1
10.0%
-0.6607072483 1
10.0%
-0.409455245 1
10.0%
-0.1719316904 1
10.0%
ValueCountFrequency (%)
1.580232587 1
10.0%
1.13125279 1
10.0%
0.8460135447 1
10.0%
0.5711939206 1
10.0%
0.101764073 1
10.0%

monthCAP2RET
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.009132602037
Minimum-1.334803838
Maximum1.094783712
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)50.0%
Memory size160.0 B
2025-03-30T10:43:10.043844image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.334803838
5-th percentile-1.321237039
Q1-0.5694038884
median-0.06762619034
Q30.8774041412
95-th percentile1.042947869
Maximum1.094783712
Range2.42958755
Interquartile range (IQR)1.44680803

Descriptive statistics

Standard deviation0.9459496707
Coefficient of variation (CV)-103.5794253
Kurtosis-1.691865463
Mean-0.009132602037
Median Absolute Deviation (MAD)0.9209598427
Skewness-0.2094531595
Sum-0.09132602037
Variance0.8948207795
MonotonicityNot monotonic
2025-03-30T10:43:10.512368image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.5899785904 1
10.0%
-1.304655396 1
10.0%
1.094783712 1
10.0%
-0.4776801459 1
10.0%
0.8051926748 1
10.0%
0.3424277652 1
10.0%
-0.5076797825 1
10.0%
0.9014746299 1
10.0%
0.9795929508 1
10.0%
-1.334803838 1
10.0%
ValueCountFrequency (%)
-1.334803838 1
10.0%
-1.304655396 1
10.0%
-0.5899785904 1
10.0%
-0.5076797825 1
10.0%
-0.4776801459 1
10.0%
ValueCountFrequency (%)
1.094783712 1
10.0%
0.9795929508 1
10.0%
0.9014746299 1
10.0%
0.8051926748 1
10.0%
0.3424277652 1
10.0%

monthCAP3RET
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2150190038
Minimum-1.309977158
Maximum1.042608836
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)40.0%
Memory size160.0 B
2025-03-30T10:43:11.002565image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.309977158
5-th percentile-0.9759772155
Q1-0.4341327426
median0.5494867682
Q30.8062066561
95-th percentile0.9887543416
Maximum1.042608836
Range2.352585994
Interquartile range (IQR)1.240339399

Descriptive statistics

Standard deviation0.8036998039
Coefficient of variation (CV)3.737808239
Kurtosis-0.5810017304
Mean0.2150190038
Median Absolute Deviation (MAD)0.4332837407
Skewness-0.8022275629
Sum2.150190038
Variance0.6459333749
MonotonicityNot monotonic
2025-03-30T10:43:11.475452image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.09524507823 1
10.0%
0.7696577513 1
10.0%
0.3293157852 1
10.0%
0.7962088085 1
10.0%
-0.5677550632 1
10.0%
-0.5470952974 1
10.0%
0.9229321822 1
10.0%
1.042608836 1
10.0%
0.809539272 1
10.0%
-1.309977158 1
10.0%
ValueCountFrequency (%)
-1.309977158 1
10.0%
-0.5677550632 1
10.0%
-0.5470952974 1
10.0%
-0.09524507823 1
10.0%
0.3293157852 1
10.0%
ValueCountFrequency (%)
1.042608836 1
10.0%
0.9229321822 1
10.0%
0.809539272 1
10.0%
0.7962088085 1
10.0%
0.7696577513 1
10.0%

monthCAP4RET
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3827450033
Minimum-0.922432686
Maximum1.893036414
Zeros0
Zeros (%)0.0%
Negative2
Negative (%)20.0%
Memory size160.0 B
2025-03-30T10:43:11.901946image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.922432686
5-th percentile-0.7396531845
Q10.05179730839
median0.4134294599
Q30.7534661653
95-th percentile1.492037425
Maximum1.893036414
Range2.8154691
Interquartile range (IQR)0.7016688569

Descriptive statistics

Standard deviation0.7933404341
Coefficient of variation (CV)2.072764967
Kurtosis0.5979985566
Mean0.3827450033
Median Absolute Deviation (MAD)0.3701311013
Skewness0.2087523071
Sum3.827450033
Variance0.6293890444
MonotonicityNot monotonic
2025-03-30T10:43:12.373760image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.7893156119 1
10.0%
1.001927549 1
10.0%
0.06002900575 1
10.0%
1.893036414 1
10.0%
-0.5162560159 1
10.0%
0.04905340927 1
10.0%
0.2783290612 1
10.0%
0.6459178258 1
10.0%
0.5485298585 1
10.0%
-0.922432686 1
10.0%
ValueCountFrequency (%)
-0.922432686 1
10.0%
-0.5162560159 1
10.0%
0.04905340927 1
10.0%
0.06002900575 1
10.0%
0.2783290612 1
10.0%
ValueCountFrequency (%)
1.893036414 1
10.0%
1.001927549 1
10.0%
0.7893156119 1
10.0%
0.6459178258 1
10.0%
0.5485298585 1
10.0%

monthCAP5RET
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.498728455
Minimum-2.165645228
Maximum0.8316283077
Zeros0
Zeros (%)0.0%
Negative9
Negative (%)90.0%
Memory size160.0 B
2025-03-30T10:43:12.819667image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.165645228
5-th percentile-1.748337935
Q1-0.8717869638
median-0.2592897594
Q3-0.1044658848
95-th percentile0.4562248188
Maximum0.8316283077
Range2.997273536
Interquartile range (IQR)0.7673210789

Descriptive statistics

Standard deviation0.8165703795
Coefficient of variation (CV)-1.637304572
Kurtosis1.207934695
Mean-0.498728455
Median Absolute Deviation (MAD)0.3798198973
Skewness-0.6370024904
Sum-4.98728455
Variance0.6667871847
MonotonicityNot monotonic
2025-03-30T10:43:13.255812image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.7622414621 1
10.0%
-1.238295688 1
10.0%
-0.1978046859 1
10.0%
-0.09730818877 1
10.0%
-0.1259389729 1
10.0%
0.8316283077 1
10.0%
-0.908302131 1
10.0%
-2.165645228 1
10.0%
-0.3207748329 1
10.0%
-0.002601667609 1
10.0%
ValueCountFrequency (%)
-2.165645228 1
10.0%
-1.238295688 1
10.0%
-0.908302131 1
10.0%
-0.7622414621 1
10.0%
-0.3207748329 1
10.0%
ValueCountFrequency (%)
0.8316283077 1
10.0%
-0.002601667609 1
10.0%
-0.09730818877 1
10.0%
-0.1259389729 1
10.0%
-0.1978046859 1
10.0%

monthCAP6RET
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5230390429
Minimum-0.8581055448
Maximum2.512407577
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)30.0%
Memory size160.0 B
2025-03-30T10:43:13.676203image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.8581055448
5-th percentile-0.7592127867
Q1-0.3472174844
median0.4433754835
Q31.100221217
95-th percentile2.137730425
Maximum2.512407577
Range3.370513121
Interquartile range (IQR)1.447438701

Descriptive statistics

Standard deviation1.071556225
Coefficient of variation (CV)2.048711734
Kurtosis-0.2940280135
Mean0.5230390429
Median Absolute Deviation (MAD)0.8809657903
Skewness0.489775689
Sum5.230390429
Variance1.148232743
MonotonicityNot monotonic
2025-03-30T10:43:14.142681image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.3416292194 1
10.0%
-0.8581055448 1
10.0%
0.2309334408 1
10.0%
1.221997121 1
10.0%
2.512407577 1
10.0%
-0.6383438601 1
10.0%
-0.5399344595 1
10.0%
0.5451217476 1
10.0%
1.679791685 1
10.0%
0.7348935035 1
10.0%
ValueCountFrequency (%)
-0.8581055448 1
10.0%
-0.6383438601 1
10.0%
-0.5399344595 1
10.0%
0.2309334408 1
10.0%
0.3416292194 1
10.0%
ValueCountFrequency (%)
2.512407577 1
10.0%
1.679791685 1
10.0%
1.221997121 1
10.0%
0.7348935035 1
10.0%
0.5451217476 1
10.0%

monthCAP7RET
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.5560627248
Minimum-2.759597399
Maximum1.06337485
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)70.0%
Memory size160.0 B
2025-03-30T10:43:14.631769image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.759597399
5-th percentile-2.146261555
Q1-0.8876460566
median-0.5628742491
Q30.03195374818
95-th percentile0.8347768737
Maximum1.06337485
Range3.822972249
Interquartile range (IQR)0.9195998048

Descriptive statistics

Standard deviation1.064430661
Coefficient of variation (CV)-1.914227683
Kurtosis1.225434859
Mean-0.5560627248
Median Absolute Deviation (MAD)0.5097923731
Skewness-0.6215053134
Sum-5.560627248
Variance1.133012632
MonotonicityNot monotonic
2025-03-30T10:43:15.081060image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.8911330086 1
10.0%
0.5553793476 1
10.0%
-0.6073455988 1
10.0%
-1.396628856 1
10.0%
0.1284517376 1
10.0%
-0.5184028994 1
10.0%
-0.8771852006 1
10.0%
-0.2575402201 1
10.0%
-2.759597399 1
10.0%
1.06337485 1
10.0%
ValueCountFrequency (%)
-2.759597399 1
10.0%
-1.396628856 1
10.0%
-0.8911330086 1
10.0%
-0.8771852006 1
10.0%
-0.6073455988 1
10.0%
ValueCountFrequency (%)
1.06337485 1
10.0%
0.5553793476 1
10.0%
0.1284517376 1
10.0%
-0.2575402201 1
10.0%
-0.5184028994 1
10.0%

monthCAP8RET
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2469067573
Minimum-1.626011092
Maximum1.582496364
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)80.0%
Memory size160.0 B
2025-03-30T10:43:15.553947image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.626011092
5-th percentile-1.149438539
Q1-0.5385908787
median-0.4183709624
Q3-0.179180003
95-th percentile1.097091288
Maximum1.582496364
Range3.208507455
Interquartile range (IQR)0.3594108756

Descriptive statistics

Standard deviation0.8273541185
Coefficient of variation (CV)-3.350876775
Kurtosis2.722794147
Mean-0.2469067573
Median Absolute Deviation (MAD)0.1415270426
Skewness0.940428779
Sum-2.469067573
Variance0.6845148374
MonotonicityNot monotonic
2025-03-30T10:43:16.007582image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.5669609756 1
10.0%
-0.4590910636 1
10.0%
1.582496364 1
10.0%
0.5038184184 1
10.0%
-0.3776508613 1
10.0%
-0.1198725474 1
10.0%
-0.5528350346 1
10.0%
-0.3571023698 1
10.0%
-1.626011092 1
10.0%
-0.4958584107 1
10.0%
ValueCountFrequency (%)
-1.626011092 1
10.0%
-0.5669609756 1
10.0%
-0.5528350346 1
10.0%
-0.4958584107 1
10.0%
-0.4590910636 1
10.0%
ValueCountFrequency (%)
1.582496364 1
10.0%
0.5038184184 1
10.0%
-0.1198725474 1
10.0%
-0.3571023698 1
10.0%
-0.3776508613 1
10.0%

monthCAP9RET
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3337677452
Minimum-1.674444264
Maximum1.047942062
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)60.0%
Memory size160.0 B
2025-03-30T10:43:16.493383image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.674444264
5-th percentile-1.555306541
Q1-0.7240836064
median-0.5436941476
Q30.3790151219
95-th percentile0.827814537
Maximum1.047942062
Range2.722386326
Interquartile range (IQR)1.103098728

Descriptive statistics

Standard deviation0.8725145563
Coefficient of variation (CV)-2.614136833
Kurtosis-0.8201397985
Mean-0.3337677452
Median Absolute Deviation (MAD)0.7654058839
Skewness0.03721029896
Sum-3.337677452
Variance0.761281651
MonotonicityNot monotonic
2025-03-30T10:43:16.952987image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.5066105067 1
10.0%
0.1211179983 1
10.0%
-0.5807777885 1
10.0%
-0.5902754834 1
10.0%
-1.674444264 1
10.0%
0.5587697846 1
10.0%
-0.7686863141 1
10.0%
1.047942062 1
10.0%
-1.40969377 1
10.0%
0.4649808297 1
10.0%
ValueCountFrequency (%)
-1.674444264 1
10.0%
-1.40969377 1
10.0%
-0.7686863141 1
10.0%
-0.5902754834 1
10.0%
-0.5807777885 1
10.0%
ValueCountFrequency (%)
1.047942062 1
10.0%
0.5587697846 1
10.0%
0.4649808297 1
10.0%
0.1211179983 1
10.0%
-0.5066105067 1
10.0%

monthCAP10RET
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02836384579
Minimum-2.286717948
Maximum1.280734459
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)40.0%
Memory size160.0 B
2025-03-30T10:43:17.567358image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.286717948
5-th percentile-1.743555688
Q1-0.7563340991
median0.4363332565
Q30.9018863301
95-th percentile1.271497285
Maximum1.280734459
Range3.567452407
Interquartile range (IQR)1.658220429

Descriptive statistics

Standard deviation1.181053101
Coefficient of variation (CV)41.6393852
Kurtosis-0.2166852444
Mean0.02836384579
Median Absolute Deviation (MAD)0.8341376758
Skewness-0.8007062439
Sum0.2836384579
Variance1.394886427
MonotonicityNot monotonic
2025-03-30T10:43:18.094810image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-2.286717948 1
10.0%
0.3298399536 1
10.0%
0.5428265593 1
10.0%
1.260207406 1
10.0%
-0.6785293354 1
10.0%
0.7420829699 1
10.0%
0.9551541169 1
10.0%
1.280734459 1
10.0%
-0.7822690203 1
10.0%
-1.079690703 1
10.0%
ValueCountFrequency (%)
-2.286717948 1
10.0%
-1.079690703 1
10.0%
-0.7822690203 1
10.0%
-0.6785293354 1
10.0%
0.3298399536 1
10.0%
ValueCountFrequency (%)
1.280734459 1
10.0%
1.260207406 1
10.0%
0.9551541169 1
10.0%
0.7420829699 1
10.0%
0.5428265593 1
10.0%

monthtotval
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.5762942997
Minimum-2.425214278
Maximum0.4104758439
Zeros0
Zeros (%)0.0%
Negative9
Negative (%)90.0%
Memory size160.0 B
2025-03-30T10:43:18.550123image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.425214278
5-th percentile-1.769048562
Q1-0.7554640229
median-0.4931996286
Q3-0.1001750103
95-th percentile0.2121844642
Maximum0.4104758439
Range2.835690122
Interquartile range (IQR)0.6552890126

Descriptive statistics

Standard deviation0.7704040527
Coefficient of variation (CV)-1.336824003
Kurtosis3.614370031
Mean-0.5762942997
Median Absolute Deviation (MAD)0.3642952651
Skewness-1.5414449
Sum-5.762942997
Variance0.5935224044
MonotonicityNot monotonic
2025-03-30T10:43:18.999310image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.0714456571 1
10.0%
-0.7575497112 1
10.0%
-0.4064622212 1
10.0%
-0.1863630699 1
10.0%
-0.9670682435 1
10.0%
-0.7492069577 1
10.0%
0.4104758439 1
10.0%
-0.5799370359 1
10.0%
-2.425214278 1
10.0%
-0.03017166663 1
10.0%
ValueCountFrequency (%)
-2.425214278 1
10.0%
-0.9670682435 1
10.0%
-0.7575497112 1
10.0%
-0.7492069577 1
10.0%
-0.5799370359 1
10.0%
ValueCountFrequency (%)
0.4104758439 1
10.0%
-0.03017166663 1
10.0%
-0.0714456571 1
10.0%
-0.1863630699 1
10.0%
-0.4064622212 1
10.0%

monthtotcnt
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.223161106
Minimum-0.8233592046
Maximum0.4164614448
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)60.0%
Memory size160.0 B
2025-03-30T10:43:19.448488image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.8233592046
5-th percentile-0.7709332728
Q1-0.5491513534
median-0.1462220797
Q30.06709296781
95-th percentile0.3036003192
Maximum0.4164614448
Range1.239820649
Interquartile range (IQR)0.6162443212

Descriptive statistics

Standard deviation0.4128325076
Coefficient of variation (CV)-1.849930371
Kurtosis-1.263301166
Mean-0.223161106
Median Absolute Deviation (MAD)0.3547654047
Skewness-0.06338831727
Sum-2.23161106
Variance0.1704306793
MonotonicityNot monotonic
2025-03-30T10:43:19.935179image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.08232988672 1
10.0%
-0.5509111826 1
10.0%
-0.1917059139 1
10.0%
-0.8233592046 1
10.0%
-0.7068571341 1
10.0%
0.0213822111 1
10.0%
0.4164614448 1
10.0%
0.1656589436 1
10.0%
-0.1007382454 1
10.0%
-0.5438718658 1
10.0%
ValueCountFrequency (%)
-0.8233592046 1
10.0%
-0.7068571341 1
10.0%
-0.5509111826 1
10.0%
-0.5438718658 1
10.0%
-0.1917059139 1
10.0%
ValueCountFrequency (%)
0.4164614448 1
10.0%
0.1656589436 1
10.0%
0.08232988672 1
10.0%
0.0213822111 1
10.0%
-0.1007382454 1
10.0%

monthusdval
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1026632547
Minimum-0.9949998932
Maximum1.2133814
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)30.0%
Memory size160.0 B
2025-03-30T10:43:20.384720image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.9949998932
5-th percentile-0.9039623682
Q1-0.4731946035
median0.2668005046
Q30.5124368474
95-th percentile0.9652577751
Maximum1.2133814
Range2.208381293
Interquartile range (IQR)0.985631451

Descriptive statistics

Standard deviation0.7111783712
Coefficient of variation (CV)6.927292273
Kurtosis-0.8383534005
Mean0.1026632547
Median Absolute Deviation (MAD)0.3285813319
Skewness-0.2947388045
Sum1.026632547
Variance0.5057746756
MonotonicityNot monotonic
2025-03-30T10:43:20.833586image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.9949998932 1
10.0%
0.5287681058 1
10.0%
0.4634430724 1
10.0%
0.06609555966 1
10.0%
0.4414214995 1
10.0%
0.6619955671 1
10.0%
-0.7926942822 1
10.0%
0.09217950964 1
10.0%
-0.6529579913 1
10.0%
1.2133814 1
10.0%
ValueCountFrequency (%)
-0.9949998932 1
10.0%
-0.7926942822 1
10.0%
-0.6529579913 1
10.0%
0.06609555966 1
10.0%
0.09217950964 1
10.0%
ValueCountFrequency (%)
1.2133814 1
10.0%
0.6619955671 1
10.0%
0.5287681058 1
10.0%
0.4634430724 1
10.0%
0.4414214995 1
10.0%

monthusdcnt
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.6701067835
Minimum-1.799463931
Maximum0.1647437875
Zeros0
Zeros (%)0.0%
Negative9
Negative (%)90.0%
Memory size160.0 B
2025-03-30T10:43:21.266431image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.799463931
5-th percentile-1.633888261
Q1-1.182784871
median-0.4782907258
Q3-0.1482057529
95-th percentile0.07237582559
Maximum0.1647437875
Range1.964207719
Interquartile range (IQR)1.034579118

Descriptive statistics

Standard deviation0.6747293436
Coefficient of variation (CV)-1.006898244
Kurtosis-1.301464642
Mean-0.6701067835
Median Absolute Deviation (MAD)0.5366673748
Skewness-0.4385045211
Sum-6.701067835
Variance0.4552596871
MonotonicityNot monotonic
2025-03-30T10:43:21.758803image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-1.799463931 1
10.0%
-0.2937966501 1
10.0%
-1.205762128 1
10.0%
-1.1138531 1
10.0%
-0.1807604898 1
10.0%
-0.6627848015 1
10.0%
-0.1373541739 1
10.0%
-1.431517998 1
10.0%
0.1647437875 1
10.0%
-0.04051835004 1
10.0%
ValueCountFrequency (%)
-1.799463931 1
10.0%
-1.431517998 1
10.0%
-1.205762128 1
10.0%
-1.1138531 1
10.0%
-0.6627848015 1
10.0%
ValueCountFrequency (%)
0.1647437875 1
10.0%
-0.04051835004 1
10.0%
-0.1373541739 1
10.0%
-0.1807604898 1
10.0%
-0.2937966501 1
10.0%

monthprtcnt
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3191650557
Minimum-1.676908474
Maximum2.523799791
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)40.0%
Memory size160.0 B
2025-03-30T10:43:22.241847image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.676908474
5-th percentile-1.185916707
Q1-0.4211459951
median0.5020404193
Q30.8908624499
95-th percentile1.837788255
Maximum2.523799791
Range4.200708265
Interquartile range (IQR)1.312008445

Descriptive statistics

Standard deviation1.141490553
Coefficient of variation (CV)3.576489758
Kurtosis0.9421579661
Mean0.3191650557
Median Absolute Deviation (MAD)0.6228197333
Skewness0.1853818073
Sum3.191650557
Variance1.303000683
MonotonicityNot monotonic
2025-03-30T10:43:22.644654image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.9552754762 1
10.0%
2.523799791 1
10.0%
0.6212185469 1
10.0%
0.6976233707 1
10.0%
-0.2463097554 1
10.0%
-1.676908474 1
10.0%
-0.5858156593 1
10.0%
0.9993297112 1
10.0%
0.3828622916 1
10.0%
-0.4794247417 1
10.0%
ValueCountFrequency (%)
-1.676908474 1
10.0%
-0.5858156593 1
10.0%
-0.4794247417 1
10.0%
-0.2463097554 1
10.0%
0.3828622916 1
10.0%
ValueCountFrequency (%)
2.523799791 1
10.0%
0.9993297112 1
10.0%
0.9552754762 1
10.0%
0.6976233707 1
10.0%
0.6212185469 1
10.0%

monthtotret
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.051145747
Minimum-2.07407596
Maximum1.625467342
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)50.0%
Memory size160.0 B
2025-03-30T10:43:23.047391image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.07407596
5-th percentile-1.269766307
Q1-0.2531255509
median0.03477838981
Q30.3659178314
95-th percentile1.327467282
Maximum1.625467342
Range3.699543302
Interquartile range (IQR)0.6190433823

Descriptive statistics

Standard deviation0.96779423
Coefficient of variation (CV)18.92228165
Kurtosis2.449884112
Mean0.051145747
Median Absolute Deviation (MAD)0.309417094
Skewness-0.7629648323
Sum0.51145747
Variance0.9366256717
MonotonicityNot monotonic
2025-03-30T10:43:23.507843image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.2867211748 1
10.0%
-2.07407596 1
10.0%
-0.2222046629 1
10.0%
0.9632449874 1
10.0%
0.3811480467 1
10.0%
0.2917614425 1
10.0%
0.3202271855 1
10.0%
-0.2625562336 1
10.0%
-0.224833503 1
10.0%
1.625467342 1
10.0%
ValueCountFrequency (%)
-2.07407596 1
10.0%
-0.2867211748 1
10.0%
-0.2625562336 1
10.0%
-0.224833503 1
10.0%
-0.2222046629 1
10.0%
ValueCountFrequency (%)
1.625467342 1
10.0%
0.9632449874 1
10.0%
0.3811480467 1
10.0%
0.3202271855 1
10.0%
0.2917614425 1
10.0%

monthtotind
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5351615662
Minimum-1.818240434
Maximum1.989809104
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)40.0%
Memory size160.0 B
2025-03-30T10:43:23.977404image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.818240434
5-th percentile-1.182104104
Q1-0.3139667436
median0.6556693431
Q31.538658466
95-th percentile1.913232716
Maximum1.989809104
Range3.808049538
Interquartile range (IQR)1.85262521

Descriptive statistics

Standard deviation1.220644262
Coefficient of variation (CV)2.280889248
Kurtosis-0.2733624774
Mean0.5351615662
Median Absolute Deviation (MAD)0.9667640591
Skewness-0.6048902591
Sum5.351615662
Variance1.489972415
MonotonicityNot monotonic
2025-03-30T10:43:24.451585image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.4046041451 1
10.0%
1.819639352 1
10.0%
1.578037507 1
10.0%
1.989809104 1
10.0%
-1.818240434 1
10.0%
0.6140256473 1
10.0%
0.6973130389 1
10.0%
-0.1893951407 1
10.0%
-0.3554906112 1
10.0%
1.420521343 1
10.0%
ValueCountFrequency (%)
-1.818240434 1
10.0%
-0.4046041451 1
10.0%
-0.3554906112 1
10.0%
-0.1893951407 1
10.0%
0.6140256473 1
10.0%
ValueCountFrequency (%)
1.989809104 1
10.0%
1.819639352 1
10.0%
1.578037507 1
10.0%
1.420521343 1
10.0%
0.6973130389 1
10.0%

monthcapret
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2879222219
Minimum-1.845579635
Maximum1.124625499
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)50.0%
Memory size160.0 B
2025-03-30T10:43:24.895239image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.845579635
5-th percentile-1.693251165
Q1-0.8633710463
median-0.08814131197
Q30.2344254482
95-th percentile0.8406881289
Maximum1.124625499
Range2.970205134
Interquartile range (IQR)1.097796494

Descriptive statistics

Standard deviation0.9314148965
Coefficient of variation (CV)-3.234953143
Kurtosis-0.5915465805
Mean-0.2879222219
Median Absolute Deviation (MAD)0.4588845831
Skewness-0.3995748196
Sum-2.879222219
Variance0.8675337094
MonotonicityNot monotonic
2025-03-30T10:43:25.306033image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-1.507071923 1
10.0%
1.124625499 1
10.0%
0.1777789229 1
10.0%
-0.3891623171 1
10.0%
0.1942028622 1
10.0%
0.2478329769 1
10.0%
-1.021440623 1
10.0%
-0.3540615469 1
10.0%
0.4936535653 1
10.0%
-1.845579635 1
10.0%
ValueCountFrequency (%)
-1.845579635 1
10.0%
-1.507071923 1
10.0%
-1.021440623 1
10.0%
-0.3891623171 1
10.0%
-0.3540615469 1
10.0%
ValueCountFrequency (%)
1.124625499 1
10.0%
0.4936535653 1
10.0%
0.2478329769 1
10.0%
0.1942028622 1
10.0%
0.1777789229 1
10.0%

monthcapind
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2966637585
Minimum-2.043826295
Maximum1.887335899
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)50.0%
Memory size160.0 B
2025-03-30T10:43:25.781051image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.043826295
5-th percentile-1.873482562
Q1-0.9796699175
median-0.2745211923
Q30.1364448145
95-th percentile1.480437679
Maximum1.887335899
Range3.931162194
Interquartile range (IQR)1.116114732

Descriptive statistics

Standard deviation1.187607778
Coefficient of variation (CV)-4.003211529
Kurtosis-0.09165383642
Mean-0.2966637585
Median Absolute Deviation (MAD)0.6457450762
Skewness0.3522100785
Sum-2.966637585
Variance1.410412235
MonotonicityNot monotonic
2025-03-30T10:43:26.273555image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.983117633 1
10.0%
-1.039073566 1
10.0%
-0.8014589707 1
10.0%
0.03178156816 1
10.0%
-2.043826295 1
10.0%
-0.5808239528 1
10.0%
-1.665284667 1
10.0%
0.1420922456 1
10.0%
1.887335899 1
10.0%
0.1195025213 1
10.0%
ValueCountFrequency (%)
-2.043826295 1
10.0%
-1.665284667 1
10.0%
-1.039073566 1
10.0%
-0.8014589707 1
10.0%
-0.5808239528 1
10.0%
ValueCountFrequency (%)
1.887335899 1
10.0%
0.983117633 1
10.0%
0.1420922456 1
10.0%
0.1195025213 1
10.0%
0.03178156816 1
10.0%

monthincret
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.104329609
Minimum-1.062966656
Maximum1.699494453
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)40.0%
Memory size160.0 B
2025-03-30T10:43:26.765677image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.062966656
5-th percentile-1.04821897
Q1-0.3609618641
median0.1201992679
Q30.5899576447
95-th percentile1.293643231
Maximum1.699494453
Range2.762461109
Interquartile range (IQR)0.9509195088

Descriptive statistics

Standard deviation0.8445080878
Coefficient of variation (CV)8.094615673
Kurtosis0.15656639
Mean0.104329609
Median Absolute Deviation (MAD)0.5978244716
Skewness0.3210924925
Sum1.04329609
Variance0.7131939104
MonotonicityNot monotonic
2025-03-30T10:43:27.215349image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.1785905174 1
10.0%
-0.4685689228 1
10.0%
1.699494453 1
10.0%
0.09285762397 1
10.0%
0.79760285 1
10.0%
0.7270800205 1
10.0%
-1.062966656 1
10.0%
0.1475409119 1
10.0%
-1.03019402 1
10.0%
-0.03814068802 1
10.0%
ValueCountFrequency (%)
-1.062966656 1
10.0%
-1.03019402 1
10.0%
-0.4685689228 1
10.0%
-0.03814068802 1
10.0%
0.09285762397 1
10.0%
ValueCountFrequency (%)
1.699494453 1
10.0%
0.79760285 1
10.0%
0.7270800205 1
10.0%
0.1785905174 1
10.0%
0.1475409119 1
10.0%

monthincind
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.7059563623
Minimum-1.761366777
Maximum0.2212861217
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)70.0%
Memory size160.0 B
2025-03-30T10:43:27.650730image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.761366777
5-th percentile-1.655332884
Q1-1.175636013
median-0.7625083564
Q3-0.02541890304
95-th percentile0.1560145694
Maximum0.2212861217
Range1.982652899
Interquartile range (IQR)1.15021711

Descriptive statistics

Standard deviation0.7118078512
Coefficient of variation (CV)-1.00828874
Kurtosis-1.554043149
Mean-0.7059563623
Median Absolute Deviation (MAD)0.6300110328
Skewness-0.05357865381
Sum-7.059563623
Variance0.5066704171
MonotonicityNot monotonic
2025-03-30T10:43:28.132841image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-1.525735903 1
10.0%
0.2212861217 1
10.0%
-1.184304951 1
10.0%
-0.2657138376 1
10.0%
0.07623822768 1
10.0%
-1.761366777 1
10.0%
0.05467940848 1
10.0%
-0.5410838297 1
10.0%
-1.149629199 1
10.0%
-0.9839328831 1
10.0%
ValueCountFrequency (%)
-1.761366777 1
10.0%
-1.525735903 1
10.0%
-1.184304951 1
10.0%
-1.149629199 1
10.0%
-0.9839328831 1
10.0%
ValueCountFrequency (%)
0.2212861217 1
10.0%
0.07623822768 1
10.0%
0.05467940848 1
10.0%
-0.2657138376 1
10.0%
-0.5410838297 1
10.0%

SPIndvwretd
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.02953429768
Minimum-2.70348013
Maximum1.685665425
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)50.0%
Memory size160.0 B
2025-03-30T10:43:28.617852image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.70348013
5-th percentile-2.009783693
Q1-0.5358836703
median0.07615917025
Q30.8908964134
95-th percentile1.471926742
Maximum1.685665425
Range4.389145555
Interquartile range (IQR)1.426780084

Descriptive statistics

Standard deviation1.28145772
Coefficient of variation (CV)-43.38879948
Kurtosis0.9603464108
Mean-0.02953429768
Median Absolute Deviation (MAD)0.8586093267
Skewness-0.8185474701
Sum-0.2953429768
Variance1.642133887
MonotonicityNot monotonic
2025-03-30T10:43:29.020302image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.2416984514 1
10.0%
-2.70348013 1
10.0%
1.083273243 1
10.0%
0.2735938163 1
10.0%
-1.161932492 1
10.0%
-0.1212754758 1
10.0%
-0.6339454099 1
10.0%
1.685665425 1
10.0%
0.3137659233 1
10.0%
1.210690574 1
10.0%
ValueCountFrequency (%)
-2.70348013 1
10.0%
-1.161932492 1
10.0%
-0.6339454099 1
10.0%
-0.2416984514 1
10.0%
-0.1212754758 1
10.0%
ValueCountFrequency (%)
1.685665425 1
10.0%
1.210690574 1
10.0%
1.083273243 1
10.0%
0.3137659233 1
10.0%
0.2735938163 1
10.0%

SPIndvwretx
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1334678578
Minimum-1.108059038
Maximum0.6836724214
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)60.0%
Memory size160.0 B
2025-03-30T10:43:29.522743image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.108059038
5-th percentile-1.082794187
Q1-0.7147556393
median-0.1590264793
Q30.5531820978
95-th percentile0.6623844093
Maximum0.6836724214
Range1.79173146
Interquartile range (IQR)1.267937737

Descriptive statistics

Standard deviation0.7015410339
Coefficient of variation (CV)-5.256254544
Kurtosis-1.596823064
Mean-0.1334678578
Median Absolute Deviation (MAD)0.7264996967
Skewness-0.207638278
Sum-1.334678578
Variance0.4921598222
MonotonicityNot monotonic
2025-03-30T10:43:30.066563image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.8439007869 1
10.0%
-1.108059038 1
10.0%
0.6836724214 1
10.0%
0.6090986064 1
10.0%
0.3854325717 1
10.0%
-0.2346593375 1
10.0%
-1.051914925 1
10.0%
-0.08339362113 1
10.0%
0.6363657278 1
10.0%
-0.3273201963 1
10.0%
ValueCountFrequency (%)
-1.108059038 1
10.0%
-1.051914925 1
10.0%
-0.8439007869 1
10.0%
-0.3273201963 1
10.0%
-0.2346593375 1
10.0%
ValueCountFrequency (%)
0.6836724214 1
10.0%
0.6363657278 1
10.0%
0.6090986064 1
10.0%
0.3854325717 1
10.0%
-0.08339362113 1
10.0%

SPIndewretd
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.0877944497
Minimum-2.264514979
Maximum1.50064979
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)40.0%
Memory size160.0 B
2025-03-30T10:43:30.665855image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.264514979
5-th percentile-1.931858129
Q1-1.315091958
median0.2961631492
Q30.8638338723
95-th percentile1.47071711
Maximum1.50064979
Range3.765164769
Interquartile range (IQR)2.17892583

Descriptive statistics

Standard deviation1.336221394
Coefficient of variation (CV)-15.21988461
Kurtosis-1.316192579
Mean-0.0877944497
Median Absolute Deviation (MAD)1.092417375
Skewness-0.4190566024
Sum-0.877944497
Variance1.785487614
MonotonicityNot monotonic
2025-03-30T10:43:31.164844image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.7303270059 1
10.0%
-1.503221934 1
10.0%
-0.750702027 1
10.0%
-1.525277535 1
10.0%
1.434132723 1
10.0%
-2.264514979 1
10.0%
0.4105616152 1
10.0%
0.1817646832 1
10.0%
1.50064979 1
10.0%
0.9083361611 1
10.0%
ValueCountFrequency (%)
-2.264514979 1
10.0%
-1.525277535 1
10.0%
-1.503221934 1
10.0%
-0.750702027 1
10.0%
0.1817646832 1
10.0%
ValueCountFrequency (%)
1.50064979 1
10.0%
1.434132723 1
10.0%
0.9083361611 1
10.0%
0.7303270059 1
10.0%
0.4105616152 1
10.0%

SPIndewretx
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.02158968587
Minimum-1.510230245
Maximum1.407258975
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)50.0%
Memory size160.0 B
2025-03-30T10:43:31.716526image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.510230245
5-th percentile-1.493470509
Q1-0.3614228288
median-0.1061620692
Q30.6065839692
95-th percentile1.290385082
Maximum1.407258975
Range2.91748922
Interquartile range (IQR)0.968006798

Descriptive statistics

Standard deviation0.9846667805
Coefficient of variation (CV)-45.60820322
Kurtosis-0.6988474414
Mean-0.02158968587
Median Absolute Deviation (MAD)0.6741608822
Skewness-0.2180626583
Sum-0.2158968587
Variance0.9695686686
MonotonicityNot monotonic
2025-03-30T10:43:32.273890image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1.407258975 1
10.0%
-1.472986388 1
10.0%
-0.2646426863 1
10.0%
-1.510230245 1
10.0%
-0.3438821948 1
10.0%
0.6451691254 1
10.0%
-0.3672697069 1
10.0%
1.147539214 1
10.0%
0.05231854782 1
10.0%
0.4908285006 1
10.0%
ValueCountFrequency (%)
-1.510230245 1
10.0%
-1.472986388 1
10.0%
-0.3672697069 1
10.0%
-0.3438821948 1
10.0%
-0.2646426863 1
10.0%
ValueCountFrequency (%)
1.407258975 1
10.0%
1.147539214 1
10.0%
0.6451691254 1
10.0%
0.4908285006 1
10.0%
0.05231854782 1
10.0%

SPIndtotval
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2978071391
Minimum-1.369136537
Maximum2.011825996
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)40.0%
Memory size160.0 B
2025-03-30T10:43:32.788139image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.369136537
5-th percentile-1.228191712
Q1-0.9595831587
median0.6100222998
Q31.360657072
95-th percentile1.840266185
Maximum2.011825996
Range3.380962534
Interquartile range (IQR)2.32024023

Descriptive statistics

Standard deviation1.261982343
Coefficient of variation (CV)4.237582575
Kurtosis-1.774497537
Mean0.2978071391
Median Absolute Deviation (MAD)1.211181684
Skewness-0.08267685023
Sum2.978071391
Variance1.592599435
MonotonicityNot monotonic
2025-03-30T10:43:33.261364image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1.53546845 1
10.0%
1.63058197 1
10.0%
0.7355242541 1
10.0%
-1.003661212 1
10.0%
0.8362229368 1
10.0%
-1.055925814 1
10.0%
0.4845203455 1
10.0%
-0.8273489996 1
10.0%
2.011825996 1
10.0%
-1.369136537 1
10.0%
ValueCountFrequency (%)
-1.369136537 1
10.0%
-1.055925814 1
10.0%
-1.003661212 1
10.0%
-0.8273489996 1
10.0%
0.4845203455 1
10.0%
ValueCountFrequency (%)
2.011825996 1
10.0%
1.63058197 1
10.0%
1.53546845 1
10.0%
0.8362229368 1
10.0%
0.7355242541 1
10.0%

SPIndtotcnt
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.06405886584
Minimum-1.739387611
Maximum1.926207563
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)50.0%
Memory size160.0 B
2025-03-30T10:43:33.707782image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.739387611
5-th percentile-1.595751214
Q1-0.7187980481
median-0.07076152331
Q30.6862586649
95-th percentile1.416824675
Maximum1.926207563
Range3.665595174
Interquartile range (IQR)1.405056713

Descriptive statistics

Standard deviation1.142127864
Coefficient of variation (CV)-17.82934882
Kurtosis-0.6786006464
Mean-0.06405886584
Median Absolute Deviation (MAD)0.7386730334
Skewness0.1476465101
Sum-0.6405886584
Variance1.304456058
MonotonicityNot monotonic
2025-03-30T10:43:34.162765image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.5782665874 1
10.0%
-0.7397168175 1
10.0%
1.926207563 1
10.0%
-1.420195617 1
10.0%
0.4367435408 1
10.0%
0.6312172005 1
10.0%
-0.6560417398 1
10.0%
0.794245591 1
10.0%
-1.739387611 1
10.0%
0.7046058197 1
10.0%
ValueCountFrequency (%)
-1.739387611 1
10.0%
-1.420195617 1
10.0%
-0.7397168175 1
10.0%
-0.6560417398 1
10.0%
-0.5782665874 1
10.0%
ValueCountFrequency (%)
1.926207563 1
10.0%
0.794245591 1
10.0%
0.7046058197 1
10.0%
0.6312172005 1
10.0%
0.4367435408 1
10.0%

SPIndusdval
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7573456162
Minimum-0.6775170719
Maximum2.13496294
Zeros0
Zeros (%)0.0%
Negative1
Negative (%)10.0%
Memory size160.0 B
2025-03-30T10:43:34.619527image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.6775170719
5-th percentile-0.1286939234
Q10.6170699578
median0.7449806285
Q30.9344607133
95-th percentile1.635254144
Maximum2.13496294
Range2.812480012
Interquartile range (IQR)0.3173907556

Descriptive statistics

Standard deviation0.680494817
Coefficient of variation (CV)0.8985261187
Kurtosis3.650758333
Mean0.7573456162
Median Absolute Deviation (MAD)0.1676211062
Skewness-0.1438891902
Sum7.573456162
Variance0.463073196
MonotonicityNot monotonic
2025-03-30T10:43:35.017951image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
2.13496294 1
10.0%
0.5420899248 1
10.0%
0.695523349 1
10.0%
0.630392472 1
10.0%
0.9607021407 1
10.0%
1.024498949 1
10.0%
0.8557364312 1
10.0%
-0.6775170719 1
10.0%
0.6126291197 1
10.0%
0.794437908 1
10.0%
ValueCountFrequency (%)
-0.6775170719 1
10.0%
0.5420899248 1
10.0%
0.6126291197 1
10.0%
0.630392472 1
10.0%
0.695523349 1
10.0%
ValueCountFrequency (%)
2.13496294 1
10.0%
1.024498949 1
10.0%
0.9607021407 1
10.0%
0.8557364312 1
10.0%
0.794437908 1
10.0%

SPIndusdcnt
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.6808722937
Minimum-2.333347842
Maximum1.082237912
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)70.0%
Memory size160.0 B
2025-03-30T10:43:35.445777image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.333347842
5-th percentile-2.062485456
Q1-1.307609075
median-0.8337014216
Q30.04607445732
95-th percentile0.7980633069
Maximum1.082237912
Range3.415585753
Interquartile range (IQR)1.353683532

Descriptive statistics

Standard deviation1.041045036
Coefficient of variation (CV)-1.528987221
Kurtosis-0.4498194798
Mean-0.6808722937
Median Absolute Deviation (MAD)0.7464429111
Skewness0.1886483058
Sum-6.808722937
Variance1.083774767
MonotonicityNot monotonic
2025-03-30T10:43:35.905201image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.9438645904 1
10.0%
0.45073879 1
10.0%
-2.333347842 1
10.0%
0.2105467634 1
10.0%
-0.8884632024 1
10.0%
-1.428857237 1
10.0%
1.082237912 1
10.0%
-0.7789396408 1
10.0%
-1.731431429 1
10.0%
-0.4473424611 1
10.0%
ValueCountFrequency (%)
-2.333347842 1
10.0%
-1.731431429 1
10.0%
-1.428857237 1
10.0%
-0.9438645904 1
10.0%
-0.8884632024 1
10.0%
ValueCountFrequency (%)
1.082237912 1
10.0%
0.45073879 1
10.0%
0.2105467634 1
10.0%
-0.4473424611 1
10.0%
-0.7789396408 1
10.0%

SPIndspindx
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1328497282
Minimum-0.9478147551
Maximum1.622591502
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)40.0%
Memory size160.0 B
2025-03-30T10:43:36.415301image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.9478147551
5-th percentile-0.8485867436
Q1-0.5446012039
median0.2922325479
Q30.5466191926
95-th percentile1.164881614
Maximum1.622591502
Range2.570406257
Interquartile range (IQR)1.091220396

Descriptive statistics

Standard deviation0.7875291801
Coefficient of variation (CV)5.927969824
Kurtosis-0.1719470953
Mean0.1328497282
Median Absolute Deviation (MAD)0.4308339945
Skewness0.3364003521
Sum1.328497282
Variance0.6202022095
MonotonicityNot monotonic
2025-03-30T10:43:36.874386image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1.622591502 1
10.0%
-0.2562095721 1
10.0%
0.07701075749 1
10.0%
0.5492151825 1
10.0%
-0.6407317478 1
10.0%
0.5388312228 1
10.0%
-0.7273080628 1
10.0%
0.5074543383 1
10.0%
-0.9478147551 1
10.0%
0.6054584168 1
10.0%
ValueCountFrequency (%)
-0.9478147551 1
10.0%
-0.7273080628 1
10.0%
-0.6407317478 1
10.0%
-0.2562095721 1
10.0%
0.07701075749 1
10.0%
ValueCountFrequency (%)
1.622591502 1
10.0%
0.6054584168 1
10.0%
0.5492151825 1
10.0%
0.5388312228 1
10.0%
0.5074543383 1
10.0%

SPIndsprtrn
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08473902262
Minimum-0.9501357529
Maximum1.211668486
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)50.0%
Memory size160.0 B
2025-03-30T10:43:37.293437image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.9501357529
5-th percentile-0.8350919582
Q1-0.5296722624
median0.07319524778
Q30.6988271372
95-th percentile1.091220432
Maximum1.211668486
Range2.161804239
Interquartile range (IQR)1.2284994

Descriptive statistics

Standard deviation0.7502136608
Coefficient of variation (CV)8.853225322
Kurtosis-1.440698918
Mean0.08473902262
Median Absolute Deviation (MAD)0.6896933753
Skewness0.1588254385
Sum0.8473902262
Variance0.5628205368
MonotonicityNot monotonic
2025-03-30T10:43:37.680155image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.2954298117 1
10.0%
0.8113623174 1
10.0%
-0.5680244333 1
10.0%
-0.1490393162 1
10.0%
1.211668486 1
10.0%
-0.9501357529 1
10.0%
-0.6944828759 1
10.0%
0.3612215964 1
10.0%
-0.4146157498 1
10.0%
0.9440061427 1
10.0%
ValueCountFrequency (%)
-0.9501357529 1
10.0%
-0.6944828759 1
10.0%
-0.5680244333 1
10.0%
-0.4146157498 1
10.0%
-0.1490393162 1
10.0%
ValueCountFrequency (%)
1.211668486 1
10.0%
0.9440061427 1
10.0%
0.8113623174 1
10.0%
0.3612215964 1
10.0%
0.2954298117 1
10.0%

SPporvwretd
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2258893025
Minimum-1.432248655
Maximum1.497698516
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)40.0%
Memory size160.0 B
2025-03-30T10:43:38.037397image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.432248655
5-th percentile-1.189521349
Q1-0.2868521582
median0.4183959927
Q30.9206131672
95-th percentile1.309590726
Maximum1.497698516
Range2.929947171
Interquartile range (IQR)1.207465325

Descriptive statistics

Standard deviation0.9257331123
Coefficient of variation (CV)4.098171546
Kurtosis-0.5364917746
Mean0.2258893025
Median Absolute Deviation (MAD)0.6429330027
Skewness-0.5152137241
Sum2.258893025
Variance0.8569817953
MonotonicityNot monotonic
2025-03-30T10:43:38.428936image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1.497698516 1
10.0%
-0.8928546409 1
10.0%
-1.432248655 1
10.0%
0.3940717101 1
10.0%
-0.2061848006 1
10.0%
0.6933997059 1
10.0%
1.079681205 1
10.0%
-0.3137412774 1
10.0%
0.4427202752 1
10.0%
0.9963509876 1
10.0%
ValueCountFrequency (%)
-1.432248655 1
10.0%
-0.8928546409 1
10.0%
-0.3137412774 1
10.0%
-0.2061848006 1
10.0%
0.3940717101 1
10.0%
ValueCountFrequency (%)
1.497698516 1
10.0%
1.079681205 1
10.0%
0.9963509876 1
10.0%
0.6933997059 1
10.0%
0.4427202752 1
10.0%

SPporvwretx
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.6498032356
Minimum-1.707174726
Maximum0.5371605015
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)80.0%
Memory size160.0 B
2025-03-30T10:43:38.845728image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.707174726
5-th percentile-1.645863725
Q1-0.9954694994
median-0.5615062718
Q3-0.3459864742
95-th percentile0.3049639408
Maximum0.5371605015
Range2.244335227
Interquartile range (IQR)0.6494830253

Descriptive statistics

Standard deviation0.6834634323
Coefficient of variation (CV)-1.051800599
Kurtosis-0.1388331871
Mean-0.6498032356
Median Absolute Deviation (MAD)0.3830722619
Skewness-0.002946855116
Sum-6.498032356
Variance0.4671222633
MonotonicityNot monotonic
2025-03-30T10:43:39.769023image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.02116814441 1
10.0%
-1.707174726 1
10.0%
-1.046360465 1
10.0%
-0.648413575 1
10.0%
-0.8427966022 1
10.0%
-0.4745989686 1
10.0%
-0.4571599636 1
10.0%
-0.3089286443 1
10.0%
0.5371605015 1
10.0%
-1.570928057 1
10.0%
ValueCountFrequency (%)
-1.707174726 1
10.0%
-1.570928057 1
10.0%
-1.046360465 1
10.0%
-0.8427966022 1
10.0%
-0.648413575 1
10.0%
ValueCountFrequency (%)
0.5371605015 1
10.0%
0.02116814441 1
10.0%
-0.3089286443 1
10.0%
-0.4571599636 1
10.0%
-0.4745989686 1
10.0%

SPporewretd
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2901923879
Minimum-1.433525972
Maximum2.022923289
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)80.0%
Memory size160.0 B
2025-03-30T10:43:40.141170image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.433525972
5-th percentile-1.257582036
Q1-0.8723506599
median-0.5989752848
Q3-0.1944615463
95-th percentile1.52933852
Maximum2.022923289
Range3.456449261
Interquartile range (IQR)0.6778891136

Descriptive statistics

Standard deviation1.031656772
Coefficient of variation (CV)-3.555078681
Kurtosis2.03602864
Mean-0.2901923879
Median Absolute Deviation (MAD)0.3738260585
Skewness1.493980104
Sum-2.901923879
Variance1.064315694
MonotonicityNot monotonic
2025-03-30T10:43:40.588106image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.7467873495 1
10.0%
-0.3515118019 1
10.0%
-1.433525972 1
10.0%
-0.1421114612 1
10.0%
-0.45116322 1
10.0%
0.9260682458 1
10.0%
2.022923289 1
10.0%
-0.7802129224 1
10.0%
-1.042539447 1
10.0%
-0.9030632391 1
10.0%
ValueCountFrequency (%)
-1.433525972 1
10.0%
-1.042539447 1
10.0%
-0.9030632391 1
10.0%
-0.7802129224 1
10.0%
-0.7467873495 1
10.0%
ValueCountFrequency (%)
2.022923289 1
10.0%
0.9260682458 1
10.0%
-0.1421114612 1
10.0%
-0.3515118019 1
10.0%
-0.45116322 1
10.0%

SPporewretx
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05555696227
Minimum-1.09764465
Maximum1.04531143
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)60.0%
Memory size160.0 B
2025-03-30T10:43:41.007221image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.09764465
5-th percentile-0.916148022
Q1-0.5193821671
median-0.1743283888
Q30.7826474305
95-th percentile1.017825436
Maximum1.04531143
Range2.14295608
Interquartile range (IQR)1.302029598

Descriptive statistics

Standard deviation0.772166759
Coefficient of variation (CV)13.89864974
Kurtosis-1.574151912
Mean0.05555696227
Median Absolute Deviation (MAD)0.7002884237
Skewness0.04966766572
Sum0.5555696227
Variance0.5962415037
MonotonicityNot monotonic
2025-03-30T10:43:41.425077image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.6149035288 1
10.0%
0.8081105618 1
10.0%
-0.6943188104 1
10.0%
1.04531143 1
10.0%
-0.2328180822 1
10.0%
-0.130653969 1
10.0%
-0.2180028086 1
10.0%
0.7062580369 1
10.0%
0.9842314425 1
10.0%
-1.09764465 1
10.0%
ValueCountFrequency (%)
-1.09764465 1
10.0%
-0.6943188104 1
10.0%
-0.6149035288 1
10.0%
-0.2328180822 1
10.0%
-0.2180028086 1
10.0%
ValueCountFrequency (%)
1.04531143 1
10.0%
0.9842314425 1
10.0%
0.8081105618 1
10.0%
0.7062580369 1
10.0%
-0.130653969 1
10.0%

SPportotval
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1847914491
Minimum-2.222440775
Maximum1.275977296
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)60.0%
Memory size160.0 B
2025-03-30T10:43:41.812922image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.222440775
5-th percentile-1.722669627
Q1-0.9304895001
median-0.2700217305
Q30.7027608547
95-th percentile1.171840087
Maximum1.275977296
Range3.49841807
Interquartile range (IQR)1.633250355

Descriptive statistics

Standard deviation1.105536376
Coefficient of variation (CV)-5.982616519
Kurtosis-0.4685223136
Mean-0.1847914491
Median Absolute Deviation (MAD)0.8279380403
Skewness-0.389630663
Sum-1.847914491
Variance1.222210679
MonotonicityNot monotonic
2025-03-30T10:43:42.218411image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1.275977296 1
10.0%
0.5440378568 1
10.0%
-0.5297764708 1
10.0%
-2.222440775 1
10.0%
-1.06406051 1
10.0%
-0.3724861215 1
10.0%
1.044561276 1
10.0%
-0.1675573394 1
10.0%
-1.111838224 1
10.0%
0.7556685206 1
10.0%
ValueCountFrequency (%)
-2.222440775 1
10.0%
-1.111838224 1
10.0%
-1.06406051 1
10.0%
-0.5297764708 1
10.0%
-0.3724861215 1
10.0%
ValueCountFrequency (%)
1.275977296 1
10.0%
1.044561276 1
10.0%
0.7556685206 1
10.0%
0.5440378568 1
10.0%
-0.1675573394 1
10.0%

SPportotcnt
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.6652392268
Minimum-2.901138782
Maximum1.328579471
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)70.0%
Memory size160.0 B
2025-03-30T10:43:42.643063image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.901138782
5-th percentile-2.318433325
Q1-1.296660325
median-0.8537015859
Q3-0.00994151438
95-th percentile1.11916725
Maximum1.328579471
Range4.229718253
Interquartile range (IQR)1.286718811

Descriptive statistics

Standard deviation1.238899536
Coefficient of variation (CV)-1.862336865
Kurtosis0.07501785592
Mean-0.6652392268
Median Absolute Deviation (MAD)0.7506977717
Skewness-0.03612150926
Sum-6.652392268
Variance1.534872061
MonotonicityNot monotonic
2025-03-30T10:43:43.029799image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-1.606237767 1
10.0%
0.863218979 1
10.0%
-1.226070593 1
10.0%
-0.7610251845 1
10.0%
-2.901138782 1
10.0%
-1.320190236 1
10.0%
-0.1048422241 1
10.0%
1.328579471 1
10.0%
0.02169205553 1
10.0%
-0.9463779874 1
10.0%
ValueCountFrequency (%)
-2.901138782 1
10.0%
-1.606237767 1
10.0%
-1.320190236 1
10.0%
-1.226070593 1
10.0%
-0.9463779874 1
10.0%
ValueCountFrequency (%)
1.328579471 1
10.0%
0.863218979 1
10.0%
0.02169205553 1
10.0%
-0.1048422241 1
10.0%
-0.7610251845 1
10.0%

SPporusdval
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2875463122
Minimum-1.783221481
Maximum1.33626536
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)50.0%
Memory size160.0 B
2025-03-30T10:43:43.418892image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.783221481
5-th percentile-1.560206303
Q1-1.018230371
median-0.1072968834
Q30.3385126735
95-th percentile0.9058973648
Maximum1.33626536
Range3.119486842
Interquartile range (IQR)1.356743044

Descriptive statistics

Standard deviation0.9628555714
Coefficient of variation (CV)-3.348523457
Kurtosis-0.7817801033
Mean-0.2875463122
Median Absolute Deviation (MAD)0.6314436302
Skewness0.0251680516
Sum-2.875463122
Variance0.9270908513
MonotonicityNot monotonic
2025-03-30T10:43:43.808094image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-1.287632196 1
10.0%
0.3569598962 1
10.0%
0.2831710053 1
10.0%
-1.063308753 1
10.0%
-0.8829952235 1
10.0%
-0.4691741995 1
10.0%
-1.783221481 1
10.0%
0.2545804326 1
10.0%
1.33626536 1
10.0%
0.3798920368 1
10.0%
ValueCountFrequency (%)
-1.783221481 1
10.0%
-1.287632196 1
10.0%
-1.063308753 1
10.0%
-0.8829952235 1
10.0%
-0.4691741995 1
10.0%
ValueCountFrequency (%)
1.33626536 1
10.0%
0.3798920368 1
10.0%
0.3569598962 1
10.0%
0.2831710053 1
10.0%
0.2545804326 1
10.0%

SPporusdcnt
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2021299118
Minimum-0.9976418988
Maximum2.379009013
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)60.0%
Memory size160.0 B
2025-03-30T10:43:44.207112image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.9976418988
5-th percentile-0.9888747494
Q1-0.7691366589
median-0.02142640378
Q30.8483567755
95-th percentile1.937120881
Maximum2.379009013
Range3.376650912
Interquartile range (IQR)1.617493434

Descriptive statistics

Standard deviation1.134775435
Coefficient of variation (CV)5.614089595
Kurtosis-0.3433402122
Mean0.2021299118
Median Absolute Deviation (MAD)0.8591629288
Skewness0.7184426657
Sum2.021299118
Variance1.287715288
MonotonicityNot monotonic
2025-03-30T10:43:44.623774image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.5790731009 1
10.0%
2.379009013 1
10.0%
-0.9781593445 1
10.0%
-0.04057187281 1
10.0%
1.397035385 1
10.0%
0.8164960239 1
10.0%
0.858977026 1
10.0%
-0.8324911782 1
10.0%
-0.9976418988 1
10.0%
-0.002280934759 1
10.0%
ValueCountFrequency (%)
-0.9976418988 1
10.0%
-0.9781593445 1
10.0%
-0.8324911782 1
10.0%
-0.5790731009 1
10.0%
-0.04057187281 1
10.0%
ValueCountFrequency (%)
2.379009013 1
10.0%
1.397035385 1
10.0%
0.858977026 1
10.0%
0.8164960239 1
10.0%
-0.002280934759 1
10.0%

SPporspindx
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3973983503
Minimum-1.670417139
Maximum1.143675739
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)70.0%
Memory size160.0 B
2025-03-30T10:43:45.088449image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.670417139
5-th percentile-1.528199945
Q1-1.059520377
median-0.5756587494
Q30.1318824644
95-th percentile1.087325713
Maximum1.143675739
Range2.814092879
Interquartile range (IQR)1.191402842

Descriptive statistics

Standard deviation0.9570186991
Coefficient of variation (CV)-2.408210045
Kurtosis-0.7944684198
Mean-0.3973983503
Median Absolute Deviation (MAD)0.65680884
Skewness0.5215045203
Sum-3.973983503
Variance0.9158847904
MonotonicityNot monotonic
2025-03-30T10:43:45.470702image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.1783101119 1
10.0%
-1.35437893 1
10.0%
-0.4215422157 1
10.0%
-0.9064127622 1
10.0%
-0.7297752832 1
10.0%
0.2352799899 1
10.0%
-1.670417139 1
10.0%
-1.110556249 1
10.0%
1.143675739 1
10.0%
1.018453459 1
10.0%
ValueCountFrequency (%)
-1.670417139 1
10.0%
-1.35437893 1
10.0%
-1.110556249 1
10.0%
-0.9064127622 1
10.0%
-0.7297752832 1
10.0%
ValueCountFrequency (%)
1.143675739 1
10.0%
1.018453459 1
10.0%
0.2352799899 1
10.0%
-0.1783101119 1
10.0%
-0.4215422157 1
10.0%

SPporsprtrn
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2264528357
Minimum-0.8892436889
Maximum1.362401935
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)30.0%
Memory size160.0 B
2025-03-30T10:43:45.874628image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.8892436889
5-th percentile-0.8388404244
Q1-0.1794706832
median0.4026472402
Q30.5602285045
95-th percentile1.075966264
Maximum1.362401935
Range2.251645624
Interquartile range (IQR)0.7396991877

Descriptive statistics

Standard deviation0.6971776947
Coefficient of variation (CV)3.078688295
Kurtosis-0.264126143
Mean0.2264528357
Median Absolute Deviation (MAD)0.2461753973
Skewness-0.3693524056
Sum2.264528357
Variance0.4860567381
MonotonicityNot monotonic
2025-03-30T10:43:46.274245image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.5256128544 1
10.0%
0.7258782206 1
10.0%
0.4291169292 1
10.0%
1.362401935 1
10.0%
0.3761775513 1
10.0%
0.2690222693 1
10.0%
-0.328968334 1
10.0%
-0.8892436889 1
10.0%
0.5717670546 1
10.0%
-0.7772364345 1
10.0%
ValueCountFrequency (%)
-0.8892436889 1
10.0%
-0.7772364345 1
10.0%
-0.328968334 1
10.0%
0.2690222693 1
10.0%
0.3761775513 1
10.0%
ValueCountFrequency (%)
1.362401935 1
10.0%
0.7258782206 1
10.0%
0.5717670546 1
10.0%
0.5256128544 1
10.0%
0.4291169292 1
10.0%

usind2CRSPMEV1
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3136522535
Minimum-1.750407735
Maximum1.396341493
Zeros0
Zeros (%)0.0%
Negative2
Negative (%)20.0%
Memory size160.0 B
2025-03-30T10:43:46.641007image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.750407735
5-th percentile-1.086761699
Q10.09223679745
median0.5357719194
Q30.7601493777
95-th percentile1.179746787
Maximum1.396341493
Range3.146749229
Interquartile range (IQR)0.6679125802

Descriptive statistics

Standard deviation0.8622807648
Coefficient of variation (CV)2.749161707
Kurtosis3.501917275
Mean0.3136522535
Median Absolute Deviation (MAD)0.3211223738
Skewness-1.592987044
Sum3.136522535
Variance0.7435281173
MonotonicityNot monotonic
2025-03-30T10:43:47.027969image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.6442915263 1
10.0%
1.396341493 1
10.0%
-0.2756387661 1
10.0%
0.9150199249 1
10.0%
0.6317180319 1
10.0%
0.3204317929 1
10.0%
0.01617179895 1
10.0%
0.7987686615 1
10.0%
0.439825807 1
10.0%
-1.750407735 1
10.0%
ValueCountFrequency (%)
-1.750407735 1
10.0%
-0.2756387661 1
10.0%
0.01617179895 1
10.0%
0.3204317929 1
10.0%
0.439825807 1
10.0%
ValueCountFrequency (%)
1.396341493 1
10.0%
0.9150199249 1
10.0%
0.7987686615 1
10.0%
0.6442915263 1
10.0%
0.6317180319 1
10.0%

usind2CRSPMEG1
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01807365163
Minimum-2.003373749
Maximum2.062212524
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)50.0%
Memory size160.0 B
2025-03-30T10:43:47.439474image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.003373749
5-th percentile-1.966350901
Q1-0.3751588033
median0.1747109375
Q30.8039271437
95-th percentile1.576339341
Maximum2.062212524
Range4.065586273
Interquartile range (IQR)1.179085947

Descriptive statistics

Standard deviation1.266075994
Coefficient of variation (CV)70.05092382
Kurtosis-0.1031347889
Mean0.01807365163
Median Absolute Deviation (MAD)0.6294524238
Skewness-0.3682415238
Sum0.1807365163
Variance1.602948421
MonotonicityNot monotonic
2025-03-30T10:43:47.898163image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.3784546536 1
10.0%
2.062212524 1
10.0%
0.3548133747 1
10.0%
-1.921100753 1
10.0%
-0.005391499727 1
10.0%
-2.003373749 1
10.0%
0.9824943391 1
10.0%
0.8804501941 1
10.0%
0.5743579923 1
10.0%
-0.3652712526 1
10.0%
ValueCountFrequency (%)
-2.003373749 1
10.0%
-1.921100753 1
10.0%
-0.3784546536 1
10.0%
-0.3652712526 1
10.0%
-0.005391499727 1
10.0%
ValueCountFrequency (%)
2.062212524 1
10.0%
0.9824943391 1
10.0%
0.8804501941 1
10.0%
0.5743579923 1
10.0%
0.3548133747 1
10.0%

usind2CRSPLCV1
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.128834992
Minimum-0.931774671
Maximum1.462485708
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)40.0%
Memory size160.0 B
2025-03-30T10:43:48.337159image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.931774671
5-th percentile-0.9007320351
Q1-0.6031831096
median0.1682318036
Q30.7431380042
95-th percentile1.343103071
Maximum1.462485708
Range2.394260379
Interquartile range (IQR)1.346321114

Descriptive statistics

Standard deviation0.8541620108
Coefficient of variation (CV)6.629891439
Kurtosis-1.232434898
Mean0.128834992
Median Absolute Deviation (MAD)0.7992288395
Skewness0.2807444113
Sum1.28834992
Variance0.7295927407
MonotonicityNot monotonic
2025-03-30T10:43:48.770619image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.2200823296 1
10.0%
0.1568811478 1
10.0%
-0.8627910357 1
10.0%
1.197190958 1
10.0%
0.9174898958 1
10.0%
-0.6809677833 1
10.0%
-0.931774671 1
10.0%
-0.3698290885 1
10.0%
1.462485708 1
10.0%
0.1795824595 1
10.0%
ValueCountFrequency (%)
-0.931774671 1
10.0%
-0.8627910357 1
10.0%
-0.6809677833 1
10.0%
-0.3698290885 1
10.0%
0.1568811478 1
10.0%
ValueCountFrequency (%)
1.462485708 1
10.0%
1.197190958 1
10.0%
0.9174898958 1
10.0%
0.2200823296 1
10.0%
0.1795824595 1
10.0%

usind2CRSPLCG1
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3755536446
Minimum-1.279161415
Maximum1.547050119
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)30.0%
Memory size160.0 B
2025-03-30T10:43:49.170420image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.279161415
5-th percentile-1.228469317
Q1-0.3271569577
median0.7086863595
Q31.150965465
95-th percentile1.417643436
Maximum1.547050119
Range2.826211534
Interquartile range (IQR)1.478122422

Descriptive statistics

Standard deviation1.044440513
Coefficient of variation (CV)2.781068772
Kurtosis-1.177591632
Mean0.3755536446
Median Absolute Deviation (MAD)0.54115324
Skewness-0.6384165439
Sum3.755536446
Variance1.090855986
MonotonicityNot monotonic
2025-03-30T10:43:49.537013image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.1771732322 1
10.0%
1.118429933 1
10.0%
-1.279161415 1
10.0%
1.141171184 1
10.0%
1.259479712 1
10.0%
-0.4952670209 1
10.0%
1.154230225 1
10.0%
0.2989427861 1
10.0%
-1.166512308 1
10.0%
1.547050119 1
10.0%
ValueCountFrequency (%)
-1.279161415 1
10.0%
-1.166512308 1
10.0%
-0.4952670209 1
10.0%
0.1771732322 1
10.0%
0.2989427861 1
10.0%
ValueCountFrequency (%)
1.547050119 1
10.0%
1.259479712 1
10.0%
1.154230225 1
10.0%
1.141171184 1
10.0%
1.118429933 1
10.0%

usind2CRSPMIV1
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008600613582
Minimum-2.119639475
Maximum1.234208825
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)40.0%
Memory size160.0 B
2025-03-30T10:43:49.936258image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.119639475
5-th percentile-1.562561975
Q1-0.3640357087
median0.304074491
Q30.6638013841
95-th percentile1.030519353
Maximum1.234208825
Range3.3538483
Interquartile range (IQR)1.027837093

Descriptive statistics

Standard deviation0.9750804512
Coefficient of variation (CV)113.373359
Kurtosis1.487308451
Mean0.008600613582
Median Absolute Deviation (MAD)0.5452152572
Skewness-1.140423065
Sum0.08600613582
Variance0.9507818863
MonotonicityNot monotonic
2025-03-30T10:43:50.338342image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.2902012246 1
10.0%
0.7815655539 1
10.0%
-0.8816894756 1
10.0%
0.4044511987 1
10.0%
0.750251446 1
10.0%
-0.3824259581 1
10.0%
0.3179477573 1
10.0%
-0.3088649604 1
10.0%
-2.119639475 1
10.0%
1.234208825 1
10.0%
ValueCountFrequency (%)
-2.119639475 1
10.0%
-0.8816894756 1
10.0%
-0.3824259581 1
10.0%
-0.3088649604 1
10.0%
0.2902012246 1
10.0%
ValueCountFrequency (%)
1.234208825 1
10.0%
0.7815655539 1
10.0%
0.750251446 1
10.0%
0.4044511987 1
10.0%
0.3179477573 1
10.0%

usind2CRSPMIG1
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.4538343627
Minimum-2.252817059
Maximum0.68943362
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)70.0%
Memory size160.0 B
2025-03-30T10:43:50.733686image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.252817059
5-th percentile-1.826460719
Q1-0.9356956078
median-0.1950316113
Q30.1815111556
95-th percentile0.526066941
Maximum0.68943362
Range2.942250679
Interquartile range (IQR)1.117206763

Descriptive statistics

Standard deviation0.8874546288
Coefficient of variation (CV)-1.955459308
Kurtosis0.4029581819
Mean-0.4538343627
Median Absolute Deviation (MAD)0.5713994519
Skewness-0.8317063379
Sum-4.538343627
Variance0.7875757182
MonotonicityNot monotonic
2025-03-30T10:43:51.108956image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.9754600277 1
10.0%
0.68943362 1
10.0%
0.270058621 1
10.0%
-0.08413124052 1
10.0%
0.3263965555 1
10.0%
-0.8164023483 1
10.0%
-0.2747790217 1
10.0%
-2.252817059 1
10.0%
-1.305358526 1
10.0%
-0.1152842009 1
10.0%
ValueCountFrequency (%)
-2.252817059 1
10.0%
-1.305358526 1
10.0%
-0.9754600277 1
10.0%
-0.8164023483 1
10.0%
-0.2747790217 1
10.0%
ValueCountFrequency (%)
0.68943362 1
10.0%
0.3263965555 1
10.0%
0.270058621 1
10.0%
-0.08413124052 1
10.0%
-0.1152842009 1
10.0%

usind2CRSPSCV1
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.07348432495
Minimum-2.488576523
Maximum1.094399797
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)50.0%
Memory size160.0 B
2025-03-30T10:43:51.498267image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.488576523
5-th percentile-1.939763258
Q1-0.6316468196
median0.109588132
Q30.9361846099
95-th percentile1.088893138
Maximum1.094399797
Range3.58297632
Interquartile range (IQR)1.56783143

Descriptive statistics

Standard deviation1.200682964
Coefficient of variation (CV)-16.33930726
Kurtosis0.06891487384
Mean-0.07348432495
Median Absolute Deviation (MAD)0.8113603673
Skewness-0.8649131489
Sum-0.7348432495
Variance1.44163958
MonotonicityNot monotonic
2025-03-30T10:43:51.904160image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.9591516765 1
10.0%
-0.663569058 1
10.0%
-1.26899149 1
10.0%
1.082162778 1
10.0%
1.094399797 1
10.0%
-2.488576523 1
10.0%
0.8672834101 1
10.0%
-0.3556822316 1
10.0%
0.5748584957 1
10.0%
-0.5358801043 1
10.0%
ValueCountFrequency (%)
-2.488576523 1
10.0%
-1.26899149 1
10.0%
-0.663569058 1
10.0%
-0.5358801043 1
10.0%
-0.3556822316 1
10.0%
ValueCountFrequency (%)
1.094399797 1
10.0%
1.082162778 1
10.0%
0.9591516765 1
10.0%
0.8672834101 1
10.0%
0.5748584957 1
10.0%

usind2CRSPSCG1
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2031031671
Minimum-0.8926474234
Maximum1.595282995
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)40.0%
Memory size160.0 B
2025-03-30T10:43:52.336010image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.8926474234
5-th percentile-0.6304891684
Q1-0.1204246469
median0.107183195
Q30.5104377873
95-th percentile1.191321478
Maximum1.595282995
Range2.487930418
Interquartile range (IQR)0.6308624342

Descriptive statistics

Standard deviation0.6683734083
Coefficient of variation (CV)3.290807414
Kurtosis1.526181331
Mean0.2031031671
Median Absolute Deviation (MAD)0.3455599286
Skewness0.6291340852
Sum2.031031671
Variance0.4467230129
MonotonicityNot monotonic
2025-03-30T10:43:52.772626image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.03618394396 1
10.0%
-0.8926474234 1
10.0%
0.5535682718 1
10.0%
-0.07130386767 1
10.0%
-0.13679824 1
10.0%
0.1781824461 1
10.0%
0.6975907356 1
10.0%
0.3810463339 1
10.0%
1.595282995 1
10.0%
-0.3100735233 1
10.0%
ValueCountFrequency (%)
-0.8926474234 1
10.0%
-0.3100735233 1
10.0%
-0.13679824 1
10.0%
-0.07130386767 1
10.0%
0.03618394396 1
10.0%
ValueCountFrequency (%)
1.595282995 1
10.0%
0.6975907356 1
10.0%
0.5535682718 1
10.0%
0.3810463339 1
10.0%
0.1781824461 1
10.0%

usind2CRSPMEVT
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3223443333
Minimum-1.668002706
Maximum2.5073319
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)30.0%
Memory size160.0 B
2025-03-30T10:43:53.153596image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.668002706
5-th percentile-1.584312996
Q1-0.5623971163
median0.2976381205
Q31.323375177
95-th percentile2.085068986
Maximum2.5073319
Range4.175334606
Interquartile range (IQR)1.885772293

Descriptive statistics

Standard deviation1.353278369
Coefficient of variation (CV)4.198238433
Kurtosis-0.7631654008
Mean0.3223443333
Median Absolute Deviation (MAD)1.138307674
Skewness-0.06318669661
Sum3.223443333
Variance1.831362343
MonotonicityNot monotonic
2025-03-30T10:43:53.540526image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.211627096 1
10.0%
2.5073319 1
10.0%
0.1588205748 1
10.0%
1.568969869 1
10.0%
0.3836491449 1
10.0%
-1.668002706 1
10.0%
-1.482025572 1
10.0%
-0.8028030133 1
10.0%
1.473812334 1
10.0%
0.8720637069 1
10.0%
ValueCountFrequency (%)
-1.668002706 1
10.0%
-1.482025572 1
10.0%
-0.8028030133 1
10.0%
0.1588205748 1
10.0%
0.211627096 1
10.0%
ValueCountFrequency (%)
2.5073319 1
10.0%
1.568969869 1
10.0%
1.473812334 1
10.0%
0.8720637069 1
10.0%
0.3836491449 1
10.0%

usind2CRSPMEGT
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.07763278703
Minimum-1.012546077
Maximum1.133334788
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)70.0%
Memory size160.0 B
2025-03-30T10:43:53.941724image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.012546077
5-th percentile-0.8086781616
Q1-0.5081647743
median-0.2274549023
Q30.2202705027
95-th percentile0.9851820714
Maximum1.133334788
Range2.145880865
Interquartile range (IQR)0.728435277

Descriptive statistics

Standard deviation0.6629610189
Coefficient of variation (CV)-8.53970396
Kurtosis-0.1969435199
Mean-0.07763278703
Median Absolute Deviation (MAD)0.3162409835
Skewness0.6680016111
Sum-0.7763278703
Variance0.4395173126
MonotonicityNot monotonic
2025-03-30T10:43:54.350159image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.03315533305 1
10.0%
-0.4490025788 1
10.0%
-0.5278855061 1
10.0%
-0.4217544716 1
10.0%
1.133334788 1
10.0%
-0.005419438626 1
10.0%
0.8041065286 1
10.0%
-1.012546077 1
10.0%
-0.5595062655 1
10.0%
0.2955004831 1
10.0%
ValueCountFrequency (%)
-1.012546077 1
10.0%
-0.5595062655 1
10.0%
-0.5278855061 1
10.0%
-0.4490025788 1
10.0%
-0.4217544716 1
10.0%
ValueCountFrequency (%)
1.133334788 1
10.0%
0.8041065286 1
10.0%
0.2955004831 1
10.0%
-0.005419438626 1
10.0%
-0.03315533305 1
10.0%

usind2CRSPLCVT
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.235966161
Minimum-0.3303837962
Maximum2.756639477
Zeros0
Zeros (%)0.0%
Negative1
Negative (%)10.0%
Memory size160.0 B
2025-03-30T10:43:54.718281image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.3303837962
5-th percentile-0.1176494286
Q10.2682312357
median1.502545454
Q31.968882473
95-th percentile2.587802137
Maximum2.756639477
Range3.087023273
Interquartile range (IQR)1.700651237

Descriptive statistics

Standard deviation1.06969301
Coefficient of variation (CV)0.8654711137
Kurtosis-1.553786206
Mean1.235966161
Median Absolute Deviation (MAD)1.020845591
Skewness-0.1126180044
Sum12.35966161
Variance1.144243136
MonotonicityNot monotonic
2025-03-30T10:43:55.087412image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
2.756639477 1
10.0%
-0.3303837962 1
10.0%
0.2443902458 1
10.0%
0.1423592429 1
10.0%
2.027581973 1
10.0%
1.220640699 1
10.0%
2.381445388 1
10.0%
1.79278397 1
10.0%
1.78445021 1
10.0%
0.3397542055 1
10.0%
ValueCountFrequency (%)
-0.3303837962 1
10.0%
0.1423592429 1
10.0%
0.2443902458 1
10.0%
0.3397542055 1
10.0%
1.220640699 1
10.0%
ValueCountFrequency (%)
2.756639477 1
10.0%
2.381445388 1
10.0%
2.027581973 1
10.0%
1.79278397 1
10.0%
1.78445021 1
10.0%

usind2CRSPLCGT
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.01093529639
Minimum-1.166065876
Maximum2.850777424
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)60.0%
Memory size160.0 B
2025-03-30T10:43:55.470713image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.166065876
5-th percentile-1.156233025
Q1-0.9722086533
median-0.1628709378
Q30.4319444082
95-th percentile1.834970583
Maximum2.850777424
Range4.0168433
Interquartile range (IQR)1.404153061

Descriptive statistics

Standard deviation1.204704634
Coefficient of variation (CV)-110.1666193
Kurtosis3.149716238
Mean-0.01093529639
Median Absolute Deviation (MAD)0.7068545619
Skewness1.532398716
Sum-0.1093529639
Variance1.451313255
MonotonicityNot monotonic
2025-03-30T10:43:55.916562image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.263104771 1
10.0%
0.4945383594 1
10.0%
-0.5399387078 1
10.0%
2.850777424 1
10.0%
-1.116298635 1
10.0%
-1.144215096 1
10.0%
0.2441625546 1
10.0%
-0.06263710457 1
10.0%
-1.166065876 1
10.0%
0.5934288888 1
10.0%
ValueCountFrequency (%)
-1.166065876 1
10.0%
-1.144215096 1
10.0%
-1.116298635 1
10.0%
-0.5399387078 1
10.0%
-0.263104771 1
10.0%
ValueCountFrequency (%)
2.850777424 1
10.0%
0.5934288888 1
10.0%
0.4945383594 1
10.0%
0.2441625546 1
10.0%
-0.06263710457 1
10.0%

usind2CRSPMIVT
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.02125000097
Minimum-1.38083412
Maximum1.073557358
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)40.0%
Memory size160.0 B
2025-03-30T10:43:56.351955image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.38083412
5-th percentile-1.191019551
Q1-0.34102361
median0.06369818224
Q30.4916239206
95-th percentile0.9328085243
Maximum1.073557358
Range2.454391478
Interquartile range (IQR)0.8326475306

Descriptive statistics

Standard deviation0.7587671282
Coefficient of variation (CV)-35.70668676
Kurtosis-0.2925472716
Mean-0.02125000097
Median Absolute Deviation (MAD)0.4547226382
Skewness-0.4395847835
Sum-0.2125000097
Variance0.5757275548
MonotonicityNot monotonic
2025-03-30T10:43:56.771694image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.06936783303 1
10.0%
1.073557358 1
10.0%
-0.3275108201 1
10.0%
-0.9590239668 1
10.0%
0.274743473 1
10.0%
-1.38083412 1
10.0%
0.5639174031 1
10.0%
-0.3455278733 1
10.0%
0.7607821719 1
10.0%
0.05802853146 1
10.0%
ValueCountFrequency (%)
-1.38083412 1
10.0%
-0.9590239668 1
10.0%
-0.3455278733 1
10.0%
-0.3275108201 1
10.0%
0.05802853146 1
10.0%
ValueCountFrequency (%)
1.073557358 1
10.0%
0.7607821719 1
10.0%
0.5639174031 1
10.0%
0.274743473 1
10.0%
0.06936783303 1
10.0%

usind2CRSPMIGT
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1313703369
Minimum-1.238923654
Maximum1.062099781
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)70.0%
Memory size160.0 B
2025-03-30T10:43:57.167274image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.238923654
5-th percentile-1.229556883
Q1-0.651979837
median-0.1625934049
Q30.4561849363
95-th percentile1.033556432
Maximum1.062099781
Range2.301023435
Interquartile range (IQR)1.108164773

Descriptive statistics

Standard deviation0.8265684011
Coefficient of variation (CV)-6.291895268
Kurtosis-1.043488271
Mean-0.1313703369
Median Absolute Deviation (MAD)0.6865817859
Skewness0.1765258142
Sum-1.313703369
Variance0.6832153217
MonotonicityNot monotonic
2025-03-30T10:43:57.559410image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.211297617 1
10.0%
-0.1138891928 1
10.0%
-0.404979935 1
10.0%
0.9986701168 1
10.0%
-0.7343131377 1
10.0%
-1.238923654 1
10.0%
-1.218108608 1
10.0%
0.6388504342 1
10.0%
1.062099781 1
10.0%
-0.09181155726 1
10.0%
ValueCountFrequency (%)
-1.238923654 1
10.0%
-1.218108608 1
10.0%
-0.7343131377 1
10.0%
-0.404979935 1
10.0%
-0.211297617 1
10.0%
ValueCountFrequency (%)
1.062099781 1
10.0%
0.9986701168 1
10.0%
0.6388504342 1
10.0%
-0.09181155726 1
10.0%
-0.1138891928 1
10.0%

usind2CRSPSCVT
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1591216945
Minimum-1.189402624
Maximum0.6363184451
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)50.0%
Memory size160.0 B
2025-03-30T10:43:57.930237image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.189402624
5-th percentile-1.117177978
Q1-0.74593446
median-0.01912702235
Q30.4544775561
95-th percentile0.6035939987
Maximum0.6363184451
Range1.825721069
Interquartile range (IQR)1.200412016

Descriptive statistics

Standard deviation0.6875311679
Coefficient of variation (CV)-4.320788376
Kurtosis-1.583638189
Mean-0.1591216945
Median Absolute Deviation (MAD)0.5515107162
Skewness-0.343718687
Sum-1.591216945
Variance0.4726991068
MonotonicityNot monotonic
2025-03-30T10:43:58.355626image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.81679736 1
10.0%
-0.08716662709 1
10.0%
0.3144004207 1
10.0%
0.5635974532 1
10.0%
0.04891258239 1
10.0%
-1.02890341 1
10.0%
-0.53334576 1
10.0%
-1.189402624 1
10.0%
0.6363184451 1
10.0%
0.5011699345 1
10.0%
ValueCountFrequency (%)
-1.189402624 1
10.0%
-1.02890341 1
10.0%
-0.81679736 1
10.0%
-0.53334576 1
10.0%
-0.08716662709 1
10.0%
ValueCountFrequency (%)
0.6363184451 1
10.0%
0.5635974532 1
10.0%
0.5011699345 1
10.0%
0.3144004207 1
10.0%
0.04891258239 1
10.0%

usind2CRSPSCGT
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1198232924
Minimum-0.5279648842
Maximum1.017729876
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)50.0%
Memory size160.0 B
2025-03-30T10:43:58.766556image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.5279648842
5-th percentile-0.4407836367
Q1-0.2435914055
median0.07507923926
Q30.4205028257
95-th percentile0.8033613758
Maximum1.017729876
Range1.54569476
Interquartile range (IQR)0.6640942311

Descriptive statistics

Standard deviation0.4704818447
Coefficient of variation (CV)3.926464006
Kurtosis-0.103781667
Mean0.1198232924
Median Absolute Deviation (MAD)0.3916301076
Skewness0.5299223173
Sum1.198232924
Variance0.2213531662
MonotonicityNot monotonic
2025-03-30T10:43:59.187597image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1.017729876 1
10.0%
0.1765609999 1
10.0%
-0.3342287786 1
10.0%
0.2397738201 1
10.0%
0.541355431 1
10.0%
-0.3025143877 1
10.0%
0.4807458276 1
10.0%
-0.5279648842 1
10.0%
-0.06682245884 1
10.0%
-0.02640252133 1
10.0%
ValueCountFrequency (%)
-0.5279648842 1
10.0%
-0.3342287786 1
10.0%
-0.3025143877 1
10.0%
-0.06682245884 1
10.0%
-0.02640252133 1
10.0%
ValueCountFrequency (%)
1.017729876 1
10.0%
0.541355431 1
10.0%
0.4807458276 1
10.0%
0.2397738201 1
10.0%
0.1765609999 1
10.0%

stockvwretd
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1263518381
Minimum-1.406078693
Maximum1.800401117
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)50.0%
Memory size160.0 B
2025-03-30T10:43:59.599818image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.406078693
5-th percentile-1.150744797
Q1-0.438387587
median0.002861077937
Q30.3368606623
95-th percentile1.759473941
Maximum1.800401117
Range3.20647981
Interquartile range (IQR)0.7752482493

Descriptive statistics

Standard deviation1.011431634
Coefficient of variation (CV)8.004882631
Kurtosis-0.01020173103
Mean0.1263518381
Median Absolute Deviation (MAD)0.4707740991
Skewness0.514061707
Sum1.263518381
Variance1.022993951
MonotonicityNot monotonic
2025-03-30T10:43:59.993728image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-1.406078693 1
10.0%
-0.8386700359 1
10.0%
-0.5704740239 1
10.0%
1.800401117 1
10.0%
0.3710741743 1
10.0%
-0.03396322587 1
10.0%
-0.04212827618 1
10.0%
1.709451837 1
10.0%
0.2342201261 1
10.0%
0.03968538175 1
10.0%
ValueCountFrequency (%)
-1.406078693 1
10.0%
-0.8386700359 1
10.0%
-0.5704740239 1
10.0%
-0.04212827618 1
10.0%
-0.03396322587 1
10.0%
ValueCountFrequency (%)
1.800401117 1
10.0%
1.709451837 1
10.0%
0.3710741743 1
10.0%
0.2342201261 1
10.0%
0.03968538175 1
10.0%

stockvwretx
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.007518223402
Minimum-2.779706886
Maximum1.603231197
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)40.0%
Memory size160.0 B
2025-03-30T10:44:00.399265image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.779706886
5-th percentile-1.823212612
Q1-0.3870362361
median0.02603556246
Q30.5593537178
95-th percentile1.495231812
Maximum1.603231197
Range4.382938082
Interquartile range (IQR)0.9463899538

Descriptive statistics

Standard deviation1.219719502
Coefficient of variation (CV)162.2350703
Kurtosis2.625407271
Mean0.007518223402
Median Absolute Deviation (MAD)0.5488500052
Skewness-1.165671034
Sum0.07518223402
Variance1.487715664
MonotonicityNot monotonic
2025-03-30T10:44:00.786113image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.05065865658 1
10.0%
0.02998959548 1
10.0%
1.603231197 1
10.0%
0.02208152945 1
10.0%
0.4418011277 1
10.0%
-2.779706886 1
10.0%
-0.4991620959 1
10.0%
1.363232564 1
10.0%
0.5985379144 1
10.0%
-0.6541640551 1
10.0%
ValueCountFrequency (%)
-2.779706886 1
10.0%
-0.6541640551 1
10.0%
-0.4991620959 1
10.0%
-0.05065865658 1
10.0%
0.02208152945 1
10.0%
ValueCountFrequency (%)
1.603231197 1
10.0%
1.363232564 1
10.0%
0.5985379144 1
10.0%
0.4418011277 1
10.0%
0.02998959548 1
10.0%

stockvwTotVal
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4011837148
Minimum-1.112435175
Maximum1.630901276
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)50.0%
Memory size160.0 B
2025-03-30T10:44:01.148861image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.112435175
5-th percentile-0.8077813243
Q1-0.2343901653
median0.2336798056
Q31.254266751
95-th percentile1.613673077
Maximum1.630901276
Range2.743336451
Interquartile range (IQR)1.488656916

Descriptive statistics

Standard deviation0.9481471666
Coefficient of variation (CV)2.363374015
Kurtosis-1.275036794
Mean0.4011837148
Median Absolute Deviation (MAD)0.6559497866
Skewness-0.002399555351
Sum4.011837148
Variance0.8989830495
MonotonicityNot monotonic
2025-03-30T10:44:01.573965image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.08747418473 1
10.0%
-0.4354266176 1
10.0%
1.592616389 1
10.0%
1.630901276 1
10.0%
-1.112435175 1
10.0%
-0.1129936297 1
10.0%
-0.2748556772 1
10.0%
0.554833796 1
10.0%
1.380198016 1
10.0%
0.8764729555 1
10.0%
ValueCountFrequency (%)
-1.112435175 1
10.0%
-0.4354266176 1
10.0%
-0.2748556772 1
10.0%
-0.1129936297 1
10.0%
-0.08747418473 1
10.0%
ValueCountFrequency (%)
1.630901276 1
10.0%
1.592616389 1
10.0%
1.380198016 1
10.0%
0.8764729555 1
10.0%
0.554833796 1
10.0%

stockvwUsdVal
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2679797153
Minimum-1.560561603
Maximum1.970137982
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)40.0%
Memory size160.0 B
2025-03-30T10:44:02.032661image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.560561603
5-th percentile-1.348103292
Q1-0.7816706734
median0.4444546055
Q30.9503582935
95-th percentile1.947969379
Maximum1.970137982
Range3.530699585
Interquartile range (IQR)1.732028967

Descriptive statistics

Standard deviation1.227987676
Coefficient of variation (CV)4.582390403
Kurtosis-1.17245177
Mean0.2679797153
Median Absolute Deviation (MAD)1.079777294
Skewness-0.03791301289
Sum2.679797153
Variance1.507953731
MonotonicityNot monotonic
2025-03-30T10:44:02.481010image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.9909593151 1
10.0%
-0.928018658 1
10.0%
-0.3426267197 1
10.0%
0.2767044239 1
10.0%
1.920874419 1
10.0%
-1.560561603 1
10.0%
1.970137982 1
10.0%
0.6122047872 1
10.0%
0.8285552287 1
10.0%
-1.088432023 1
10.0%
ValueCountFrequency (%)
-1.560561603 1
10.0%
-1.088432023 1
10.0%
-0.928018658 1
10.0%
-0.3426267197 1
10.0%
0.2767044239 1
10.0%
ValueCountFrequency (%)
1.970137982 1
10.0%
1.920874419 1
10.0%
0.9909593151 1
10.0%
0.8285552287 1
10.0%
0.6122047872 1
10.0%

stockvwTotCnt
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0554836463
Minimum-1.805840036
Maximum2.05572133
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)40.0%
Memory size160.0 B
2025-03-30T10:44:02.931759image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.805840036
5-th percentile-1.729973703
Q1-0.6132137783
median0.1745619421
Q30.8139351906
95-th percentile1.57828661
Maximum2.05572133
Range3.861561365
Interquartile range (IQR)1.427148969

Descriptive statistics

Standard deviation1.201334403
Coefficient of variation (CV)21.65204493
Kurtosis-0.3560582864
Mean0.0554836463
Median Absolute Deviation (MAD)0.7548220883
Skewness-0.1814533398
Sum0.554836463
Variance1.443204347
MonotonicityNot monotonic
2025-03-30T10:44:03.331750image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-1.805840036 1
10.0%
-0.1676589826 1
10.0%
-0.7617320435 1
10.0%
0.6637024359 1
10.0%
0.8640127755 1
10.0%
0.1191210979 1
10.0%
2.05572133 1
10.0%
0.9947552853 1
10.0%
0.2300027863 1
10.0%
-1.637248186 1
10.0%
ValueCountFrequency (%)
-1.805840036 1
10.0%
-1.637248186 1
10.0%
-0.7617320435 1
10.0%
-0.1676589826 1
10.0%
0.1191210979 1
10.0%
ValueCountFrequency (%)
2.05572133 1
10.0%
0.9947552853 1
10.0%
0.8640127755 1
10.0%
0.6637024359 1
10.0%
0.2300027863 1
10.0%

stockvwUsdCnt
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.219963547
Minimum-1.647412661
Maximum1.16029413
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)70.0%
Memory size160.0 B
2025-03-30T10:44:03.748251image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.647412661
5-th percentile-1.589120017
Q1-0.4499731301
median-0.218173616
Q30.2721162984
95-th percentile0.9851625345
Maximum1.16029413
Range2.80770679
Interquartile range (IQR)0.7220894286

Descriptive statistics

Standard deviation0.8894926112
Coefficient of variation (CV)-4.043818274
Kurtosis-0.2541307612
Mean-0.219963547
Median Absolute Deviation (MAD)0.4223892697
Skewness-0.2554343077
Sum-2.19963547
Variance0.7911971053
MonotonicityNot monotonic
2025-03-30T10:44:04.133574image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-1.517873454 1
10.0%
-1.647412661 1
10.0%
-0.4678938362 1
10.0%
-0.09391863865 1
10.0%
0.7711128068 1
10.0%
0.3768847033 1
10.0%
-0.04218891617 1
10.0%
-0.396211012 1
10.0%
-0.3424285934 1
10.0%
1.16029413 1
10.0%
ValueCountFrequency (%)
-1.647412661 1
10.0%
-1.517873454 1
10.0%
-0.4678938362 1
10.0%
-0.396211012 1
10.0%
-0.3424285934 1
10.0%
ValueCountFrequency (%)
1.16029413 1
10.0%
0.7711128068 1
10.0%
0.3768847033 1
10.0%
-0.04218891617 1
10.0%
-0.09391863865 1
10.0%

stockewretd
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2650409975
Minimum-1.096772943
Maximum2.049268108
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)50.0%
Memory size160.0 B
2025-03-30T10:44:04.531361image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.096772943
5-th percentile-0.9980949764
Q1-0.8275115162
median0.02509415854
Q31.237361004
95-th percentile1.935328208
Maximum2.049268108
Range3.146041051
Interquartile range (IQR)2.06487252

Descriptive statistics

Standard deviation1.192840245
Coefficient of variation (CV)4.500587669
Kurtosis-1.645308806
Mean0.2650409975
Median Absolute Deviation (MAD)0.9622784443
Skewness0.3534499603
Sum2.650409975
Variance1.42286785
MonotonicityNot monotonic
2025-03-30T10:44:04.947838image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-1.096772943 1
10.0%
0.08671866676 1
10.0%
-0.8456662927 1
10.0%
-0.03653034968 1
10.0%
1.300791899 1
10.0%
1.047068316 1
10.0%
-0.7730471868 1
10.0%
1.796068329 1
10.0%
2.049268108 1
10.0%
-0.8774885722 1
10.0%
ValueCountFrequency (%)
-1.096772943 1
10.0%
-0.8774885722 1
10.0%
-0.8456662927 1
10.0%
-0.7730471868 1
10.0%
-0.03653034968 1
10.0%
ValueCountFrequency (%)
2.049268108 1
10.0%
1.796068329 1
10.0%
1.300791899 1
10.0%
1.047068316 1
10.0%
0.08671866676 1
10.0%

stockewretx
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3028793119
Minimum-1.395860079
Maximum2.037545625
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)40.0%
Memory size160.0 B
2025-03-30T10:44:05.356460image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.395860079
5-th percentile-0.9920455251
Q1-0.2011690547
median0.09272319313
Q31.02127105
95-th percentile1.66759484
Maximum2.037545625
Range3.433405704
Interquartile range (IQR)1.222440104

Descriptive statistics

Standard deviation0.9846298843
Coefficient of variation (CV)3.250898445
Kurtosis0.09979673119
Mean0.3028793119
Median Absolute Deviation (MAD)0.5753945519
Skewness0.1406899557
Sum3.028793119
Variance0.9694960091
MonotonicityNot monotonic
2025-03-30T10:44:05.802989image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.6522946998 1
10.0%
0.0907321344 1
10.0%
-0.2464205868 1
10.0%
2.037545625 1
10.0%
1.144263166 1
10.0%
-1.395860079 1
10.0%
1.21543277 1
10.0%
-0.06541445814 1
10.0%
0.09471425186 1
10.0%
-0.498494404 1
10.0%
ValueCountFrequency (%)
-1.395860079 1
10.0%
-0.498494404 1
10.0%
-0.2464205868 1
10.0%
-0.06541445814 1
10.0%
0.0907321344 1
10.0%
ValueCountFrequency (%)
2.037545625 1
10.0%
1.21543277 1
10.0%
1.144263166 1
10.0%
0.6522946998 1
10.0%
0.09471425186 1
10.0%

stockewTotVal
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1555879724
Minimum-1.081300825
Maximum1.337177166
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)40.0%
Memory size160.0 B
2025-03-30T10:44:06.220254image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.081300825
5-th percentile-0.8929197891
Q1-0.5552724797
median0.3818214592
Q30.6944201186
95-th percentile1.11325726
Maximum1.337177166
Range2.418477991
Interquartile range (IQR)1.249692598

Descriptive statistics

Standard deviation0.7812090783
Coefficient of variation (CV)5.021012011
Kurtosis-1.065417198
Mean0.1555879724
Median Absolute Deviation (MAD)0.5376338789
Skewness-0.2262217918
Sum1.555879724
Variance0.610287624
MonotonicityNot monotonic
2025-03-30T10:44:06.613801image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-1.081300825 1
10.0%
0.4965841908 1
10.0%
0.7603654278 1
10.0%
0.4902760657 1
10.0%
-0.662676301 1
10.0%
0.8395773748 1
10.0%
1.337177166 1
10.0%
-0.2356903831 1
10.0%
-0.6617998453 1
10.0%
0.2733668528 1
10.0%
ValueCountFrequency (%)
-1.081300825 1
10.0%
-0.662676301 1
10.0%
-0.6617998453 1
10.0%
-0.2356903831 1
10.0%
0.2733668528 1
10.0%
ValueCountFrequency (%)
1.337177166 1
10.0%
0.8395773748 1
10.0%
0.7603654278 1
10.0%
0.4965841908 1
10.0%
0.4902760657 1
10.0%

stockewUsdVal
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1863303094
Minimum-1.176637186
Maximum2.52626418
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)60.0%
Memory size160.0 B
2025-03-30T10:44:06.988876image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.176637186
5-th percentile-1.116357477
Q1-0.3007859075
median-0.1908477698
Q30.7693721473
95-th percentile1.922800914
Maximum2.52626418
Range3.702901366
Interquartile range (IQR)1.070158055

Descriptive statistics

Standard deviation1.111211825
Coefficient of variation (CV)5.963666505
Kurtosis0.9696984169
Mean0.1863303094
Median Absolute Deviation (MAD)0.7370456216
Skewness0.9566909963
Sum1.863303094
Variance1.234791721
MonotonicityNot monotonic
2025-03-30T10:44:07.417218image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
2.52626418 1
10.0%
-0.3212636693 1
10.0%
-0.2379203284 1
10.0%
0.8820265407 1
10.0%
-1.042682276 1
10.0%
1.1852347 1
10.0%
-1.176637186 1
10.0%
0.431408967 1
10.0%
-0.2393526223 1
10.0%
-0.1437752112 1
10.0%
ValueCountFrequency (%)
-1.176637186 1
10.0%
-1.042682276 1
10.0%
-0.3212636693 1
10.0%
-0.2393526223 1
10.0%
-0.2379203284 1
10.0%
ValueCountFrequency (%)
2.52626418 1
10.0%
1.1852347 1
10.0%
0.8820265407 1
10.0%
0.431408967 1
10.0%
-0.1437752112 1
10.0%

stockewTotCnt
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3233964316
Minimum-1.785547299
Maximum0.9811888278
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)50.0%
Memory size160.0 B
2025-03-30T10:44:07.866248image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.785547299
5-th percentile-1.73805315
Q1-1.27104025
median-0.3248081317
Q30.7090212391
95-th percentile0.8914734002
Maximum0.9811888278
Range2.766736127
Interquartile range (IQR)1.98006149

Descriptive statistics

Standard deviation1.092478698
Coefficient of variation (CV)-3.378140855
Kurtosis-1.886645808
Mean-0.3233964316
Median Absolute Deviation (MAD)1.066897331
Skewness-0.1469770427
Sum-3.233964316
Variance1.193509706
MonotonicityNot monotonic
2025-03-30T10:44:08.303406image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.717736704 1
10.0%
-0.8587665089 1
10.0%
-1.785547299 1
10.0%
0.9811888278 1
10.0%
-1.680004746 1
10.0%
0.725329832 1
10.0%
0.06812044071 1
10.0%
-1.408464831 1
10.0%
0.781821211 1
10.0%
0.6600954605 1
10.0%
ValueCountFrequency (%)
-1.785547299 1
10.0%
-1.680004746 1
10.0%
-1.408464831 1
10.0%
-0.8587665089 1
10.0%
-0.717736704 1
10.0%
ValueCountFrequency (%)
0.9811888278 1
10.0%
0.781821211 1
10.0%
0.725329832 1
10.0%
0.6600954605 1
10.0%
0.06812044071 1
10.0%

stockewUsdCnt
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1516674121
Minimum-2.152037521
Maximum1.109048636
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)50.0%
Memory size160.0 B
2025-03-30T10:44:08.733692image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.152037521
5-th percentile-1.993365008
Q1-0.2344221748
median0.02532297658
Q30.5714413783
95-th percentile0.8832489767
Maximum1.109048636
Range3.261086157
Interquartile range (IQR)0.8058635531

Descriptive statistics

Standard deviation1.051082063
Coefficient of variation (CV)-6.930177343
Kurtosis0.440456601
Mean-0.1516674121
Median Absolute Deviation (MAD)0.5156491738
Skewness-1.116822003
Sum-1.516674121
Variance1.104773503
MonotonicityNot monotonic
2025-03-30T10:44:09.179762image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-1.799431936 1
10.0%
0.6072716154 1
10.0%
-2.152037521 1
10.0%
0.6019106062 1
10.0%
0.1234443458 1
10.0%
1.109048636 1
10.0%
-0.1523284045 1
10.0%
-0.2617867649 1
10.0%
0.4800336946 1
10.0%
-0.07279839263 1
10.0%
ValueCountFrequency (%)
-2.152037521 1
10.0%
-1.799431936 1
10.0%
-0.2617867649 1
10.0%
-0.1523284045 1
10.0%
-0.07279839263 1
10.0%
ValueCountFrequency (%)
1.109048636 1
10.0%
0.6072716154 1
10.0%
0.6019106062 1
10.0%
0.4800336946 1
10.0%
0.1234443458 1
10.0%

stocksprtrn
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.4127865241
Minimum-3.408966737
Maximum2.352585079
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)70.0%
Memory size160.0 B
2025-03-30T10:44:09.630296image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-3.408966737
5-th percentile-2.581000611
Q1-0.77200515
median-0.2412965372
Q30.1320744056
95-th percentile1.420572069
Maximum2.352585079
Range5.761551816
Interquartile range (IQR)0.9040795556

Descriptive statistics

Standard deviation1.461993168
Coefficient of variation (CV)-3.541765739
Kurtosis2.409779333
Mean-0.4127865241
Median Absolute Deviation (MAD)0.476439369
Skewness-0.2999059182
Sum-4.127865241
Variance2.137424025
MonotonicityNot monotonic
2025-03-30T10:44:10.070950image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.2814450557 1
10.0%
-0.3397148516 1
10.0%
-1.569042011 1
10.0%
-0.1428782228 1
10.0%
2.352585079 1
10.0%
-0.03822420116 1
10.0%
0.1888406078 1
10.0%
-0.6338546383 1
10.0%
-0.8180553206 1
10.0%
-3.408966737 1
10.0%
ValueCountFrequency (%)
-3.408966737 1
10.0%
-1.569042011 1
10.0%
-0.8180553206 1
10.0%
-0.6338546383 1
10.0%
-0.3397148516 1
10.0%
ValueCountFrequency (%)
2.352585079 1
10.0%
0.2814450557 1
10.0%
0.1888406078 1
10.0%
-0.03822420116 1
10.0%
-0.1428782228 1
10.0%

ustreb30ret
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1949105659
Minimum-0.8534409201
Maximum1.76645026
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)40.0%
Memory size160.0 B
2025-03-30T10:44:10.556089image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.8534409201
5-th percentile-0.710499487
Q1-0.4107385999
median0.1966196307
Q30.5614670091
95-th percentile1.304790606
Maximum1.76645026
Range2.61989118
Interquartile range (IQR)0.972205609

Descriptive statistics

Standard deviation0.7682014058
Coefficient of variation (CV)3.941302013
Kurtosis0.6477662155
Mean0.1949105659
Median Absolute Deviation (MAD)0.4627932879
Skewness0.6792364339
Sum1.949105659
Variance0.5901333999
MonotonicityNot monotonic
2025-03-30T10:44:11.046497image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.740539918 1
10.0%
-0.8534409201 1
10.0%
0.5110102788 1
10.0%
0.01768433943 1
10.0%
1.76645026 1
10.0%
0.375554922 1
10.0%
0.5782859192 1
10.0%
-0.5357932911 1
10.0%
-0.1553014511 1
10.0%
-0.4958843162 1
10.0%
ValueCountFrequency (%)
-0.8534409201 1
10.0%
-0.5357932911 1
10.0%
-0.4958843162 1
10.0%
-0.1553014511 1
10.0%
0.01768433943 1
10.0%
ValueCountFrequency (%)
1.76645026 1
10.0%
0.740539918 1
10.0%
0.5782859192 1
10.0%
0.5110102788 1
10.0%
0.375554922 1
10.0%

ustreb30ind
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.6441293967
Minimum-2.08723741
Maximum1.619031569
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)80.0%
Memory size160.0 B
2025-03-30T10:44:11.442747image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.08723741
5-th percentile-1.952079292
Q1-1.537581471
median-0.7027849478
Q3-0.202732361
95-th percentile1.258524003
Maximum1.619031569
Range3.70626898
Interquartile range (IQR)1.33484911

Descriptive statistics

Standard deviation1.180262569
Coefficient of variation (CV)-1.832337687
Kurtosis-0.05114674581
Mean-0.6441293967
Median Absolute Deviation (MAD)0.8217956989
Skewness0.7597767714
Sum-6.441293967
Variance1.393019732
MonotonicityNot monotonic
2025-03-30T10:44:11.903063image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.4185970979 1
10.0%
-2.08723741 1
10.0%
0.8179036446 1
10.0%
-0.6125935489 1
10.0%
-1.550582296 1
10.0%
-0.7929763467 1
10.0%
-1.786886035 1
10.0%
-0.1307774488 1
10.0%
-1.498578997 1
10.0%
1.619031569 1
10.0%
ValueCountFrequency (%)
-2.08723741 1
10.0%
-1.786886035 1
10.0%
-1.550582296 1
10.0%
-1.498578997 1
10.0%
-0.7929763467 1
10.0%
ValueCountFrequency (%)
1.619031569 1
10.0%
0.8179036446 1
10.0%
-0.1307774488 1
10.0%
-0.4185970979 1
10.0%
-0.6125935489 1
10.0%

ustreb20ret
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05792027389
Minimum-1.444449976
Maximum2.322053394
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)50.0%
Memory size160.0 B
2025-03-30T10:44:12.348849image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.444449976
5-th percentile-1.240065823
Q1-0.6931754443
median-0.2299927962
Q30.3962679959
95-th percentile2.140958199
Maximum2.322053394
Range3.766503369
Interquartile range (IQR)1.08944344

Descriptive statistics

Standard deviation1.230006499
Coefficient of variation (CV)21.23619963
Kurtosis-0.01222374629
Mean0.05792027389
Median Absolute Deviation (MAD)0.5946612867
Skewness0.9364731037
Sum0.5792027389
Variance1.512915988
MonotonicityNot monotonic
2025-03-30T10:44:12.815688image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.6996257987 1
10.0%
-0.9902629703 1
10.0%
1.919619629 1
10.0%
-1.444449976 1
10.0%
2.322053394 1
10.0%
-0.673824381 1
10.0%
0.4896967746 1
10.0%
0.1159816598 1
10.0%
0.0888330989 1
10.0%
-0.5488186914 1
10.0%
ValueCountFrequency (%)
-1.444449976 1
10.0%
-0.9902629703 1
10.0%
-0.6996257987 1
10.0%
-0.673824381 1
10.0%
-0.5488186914 1
10.0%
ValueCountFrequency (%)
2.322053394 1
10.0%
1.919619629 1
10.0%
0.4896967746 1
10.0%
0.1159816598 1
10.0%
0.0888330989 1
10.0%

ustreb20ind
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1755184176
Minimum-1.839901664
Maximum1.862995916
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)40.0%
Memory size160.0 B
2025-03-30T10:44:13.294603image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.839901664
5-th percentile-1.567369883
Q1-0.6235187381
median0.3541398859
Q31.110342134
95-th percentile1.607764914
Maximum1.862995916
Range3.70289758
Interquartile range (IQR)1.733860872

Descriptive statistics

Standard deviation1.20012622
Coefficient of variation (CV)6.837608477
Kurtosis-0.9564341895
Mean0.1755184176
Median Absolute Deviation (MAD)0.8886290016
Skewness-0.3385562325
Sum1.755184176
Variance1.440302944
MonotonicityNot monotonic
2025-03-30T10:44:13.768932image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-1.234275484 1
10.0%
-0.6708776208 1
10.0%
-0.4814420903 1
10.0%
1.16338955 1
10.0%
1.295815913 1
10.0%
1.862995916 1
10.0%
0.457283048 1
10.0%
0.9511998851 1
10.0%
-1.839901664 1
10.0%
0.2509967237 1
10.0%
ValueCountFrequency (%)
-1.839901664 1
10.0%
-1.234275484 1
10.0%
-0.6708776208 1
10.0%
-0.4814420903 1
10.0%
0.2509967237 1
10.0%
ValueCountFrequency (%)
1.862995916 1
10.0%
1.295815913 1
10.0%
1.16338955 1
10.0%
0.9511998851 1
10.0%
0.457283048 1
10.0%

ustreb10ret
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03619435767
Minimum-0.9551795983
Maximum0.9752124191
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)40.0%
Memory size160.0 B
2025-03-30T10:44:14.245742image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.9551795983
5-th percentile-0.9017023654
Q1-0.5007925674
median0.2243018867
Q30.3703710385
95-th percentile0.9635746407
Maximum0.9752124191
Range1.930392017
Interquartile range (IQR)0.8711636059

Descriptive statistics

Standard deviation0.6866816348
Coefficient of variation (CV)18.97206302
Kurtosis-1.213987786
Mean0.03619435767
Median Absolute Deviation (MAD)0.668458411
Skewness-0.1011650136
Sum0.3619435767
Variance0.4715316676
MonotonicityNot monotonic
2025-03-30T10:44:14.733037image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.5385347123 1
10.0%
-0.3875661326 1
10.0%
0.2200401667 1
10.0%
0.9493506894 1
10.0%
0.3875428565 1
10.0%
0.2285636067 1
10.0%
-0.9551795983 1
10.0%
0.9752124191 1
10.0%
-0.836341303 1
10.0%
0.3188555846 1
10.0%
ValueCountFrequency (%)
-0.9551795983 1
10.0%
-0.836341303 1
10.0%
-0.5385347123 1
10.0%
-0.3875661326 1
10.0%
0.2200401667 1
10.0%
ValueCountFrequency (%)
0.9752124191 1
10.0%
0.9493506894 1
10.0%
0.3875428565 1
10.0%
0.3188555846 1
10.0%
0.2285636067 1
10.0%

ustreb10ind
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.35283777
Minimum-1.863219934
Maximum0.6738134531
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)60.0%
Memory size160.0 B
2025-03-30T10:44:15.201439image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.863219934
5-th percentile-1.494737087
Q1-0.7873556919
median-0.5554415832
Q30.4242579835
95-th percentile0.6046730437
Maximum0.6738134531
Range2.537033387
Interquartile range (IQR)1.211613675

Descriptive statistics

Standard deviation0.8294825127
Coefficient of variation (CV)-2.350889228
Kurtosis-0.6996021857
Mean-0.35283777
Median Absolute Deviation (MAD)0.7233629946
Skewness-0.3114108417
Sum-3.5283777
Variance0.6880412389
MonotonicityNot monotonic
2025-03-30T10:44:15.659448image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-1.863219934 1
10.0%
0.4023568263 1
10.0%
0.5201680989 1
10.0%
-0.5630071515 1
10.0%
-1.044369163 1
10.0%
0.6738134531 1
10.0%
-0.8058102917 1
10.0%
0.4315583693 1
10.0%
-0.7319918925 1
10.0%
-0.5478760148 1
10.0%
ValueCountFrequency (%)
-1.863219934 1
10.0%
-1.044369163 1
10.0%
-0.8058102917 1
10.0%
-0.7319918925 1
10.0%
-0.5630071515 1
10.0%
ValueCountFrequency (%)
0.6738134531 1
10.0%
0.5201680989 1
10.0%
0.4315583693 1
10.0%
0.4023568263 1
10.0%
-0.5478760148 1
10.0%

ustreb7ret
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.4785626956
Minimum-1.672102771
Maximum1.150326823
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)80.0%
Memory size160.0 B
2025-03-30T10:44:16.065164image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.672102771
5-th percentile-1.543146035
Q1-1.234452085
median-0.3704039598
Q3-0.0624194336
95-th percentile0.7575656171
Maximum1.150326823
Range2.822429594
Interquartile range (IQR)1.172032652

Descriptive statistics

Standard deviation0.8702774983
Coefficient of variation (CV)-1.81852348
Kurtosis-0.2613706189
Mean-0.4785626956
Median Absolute Deviation (MAD)0.6003491696
Skewness0.3662806538
Sum-4.785626956
Variance0.7573829241
MonotonicityNot monotonic
2025-03-30T10:44:16.481333image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-1.672102771 1
10.0%
1.150326823 1
10.0%
-1.338211382 1
10.0%
0.2775241436 1
10.0%
-0.9231741955 1
10.0%
-0.1974191775 1
10.0%
-0.1056352427 1
10.0%
-0.5433887421 1
10.0%
-1.385532247 1
10.0%
-0.0480141639 1
10.0%
ValueCountFrequency (%)
-1.672102771 1
10.0%
-1.385532247 1
10.0%
-1.338211382 1
10.0%
-0.9231741955 1
10.0%
-0.5433887421 1
10.0%
ValueCountFrequency (%)
1.150326823 1
10.0%
0.2775241436 1
10.0%
-0.0480141639 1
10.0%
-0.1056352427 1
10.0%
-0.1974191775 1
10.0%

ustreb7ind
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1284042971
Minimum-2.194403887
Maximum1.717993056
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)40.0%
Memory size160.0 B
2025-03-30T10:44:16.950261image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.194403887
5-th percentile-1.534392292
Q1-0.2273267535
median0.1151606143
Q30.569487308
95-th percentile1.644832636
Maximum1.717993056
Range3.912396943
Interquartile range (IQR)0.7968140615

Descriptive statistics

Standard deviation1.117154949
Coefficient of variation (CV)8.700292549
Kurtosis1.304857951
Mean0.1284042971
Median Absolute Deviation (MAD)0.4624109742
Skewness-0.6150788853
Sum1.284042971
Variance1.24803518
MonotonicityNot monotonic
2025-03-30T10:44:17.503021image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.727711454 1
10.0%
-0.2958578404 1
10.0%
1.555414345 1
10.0%
1.717993056 1
10.0%
0.01935494092 1
10.0%
0.2109662876 1
10.0%
0.3910569077 1
10.0%
0.628964108 1
10.0%
-2.194403887 1
10.0%
-0.02173349293 1
10.0%
ValueCountFrequency (%)
-2.194403887 1
10.0%
-0.727711454 1
10.0%
-0.2958578404 1
10.0%
-0.02173349293 1
10.0%
0.01935494092 1
10.0%
ValueCountFrequency (%)
1.717993056 1
10.0%
1.555414345 1
10.0%
0.628964108 1
10.0%
0.3910569077 1
10.0%
0.2109662876 1
10.0%

ustreb5ret
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.01320261554
Minimum-1.302366319
Maximum0.6777010941
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)40.0%
Memory size160.0 B
2025-03-30T10:44:17.962358image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.302366319
5-th percentile-1.003966728
Q1-0.5525570838
median0.2627931263
Q30.5313702696
95-th percentile0.6662046885
Maximum0.6777010941
Range1.980067413
Interquartile range (IQR)1.083927353

Descriptive statistics

Standard deviation0.6849174462
Coefficient of variation (CV)-51.87740598
Kurtosis-0.710204972
Mean-0.01320261554
Median Absolute Deviation (MAD)0.4021341838
Skewness-0.7387090316
Sum-0.1320261554
Variance0.4691119081
MonotonicityNot monotonic
2025-03-30T10:44:18.439812image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.4622008991 1
10.0%
0.6777010941 1
10.0%
-0.573878059 1
10.0%
-0.4885941581 1
10.0%
-1.302366319 1
10.0%
-0.6392561176 1
10.0%
0.2029539343 1
10.0%
0.5544267265 1
10.0%
0.6521535262 1
10.0%
0.3226323183 1
10.0%
ValueCountFrequency (%)
-1.302366319 1
10.0%
-0.6392561176 1
10.0%
-0.573878059 1
10.0%
-0.4885941581 1
10.0%
0.2029539343 1
10.0%
ValueCountFrequency (%)
0.6777010941 1
10.0%
0.6521535262 1
10.0%
0.5544267265 1
10.0%
0.4622008991 1
10.0%
0.3226323183 1
10.0%

ustreb5ind
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.349779747
Minimum-1.569883928
Maximum2.312481906
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)40.0%
Memory size160.0 B
2025-03-30T10:44:18.915489image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.569883928
5-th percentile-1.409859957
Q1-0.1780258432
median0.3805633891
Q31.136663764
95-th percentile1.913171382
Maximum2.312481906
Range3.882365833
Interquartile range (IQR)1.314689607

Descriptive statistics

Standard deviation1.187429925
Coefficient of variation (CV)3.394793252
Kurtosis-0.3278326134
Mean0.349779747
Median Absolute Deviation (MAD)0.7144901754
Skewness-0.128312144
Sum3.49779747
Variance1.409989826
MonotonicityNot monotonic
2025-03-30T10:44:19.378835image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1.227322438 1
10.0%
0.3825999593 1
10.0%
-1.214275105 1
10.0%
1.425125187 1
10.0%
-0.1071296348 1
10.0%
0.8646877408 1
10.0%
-1.569883928 1
10.0%
0.3785268189 1
10.0%
-0.2016579127 1
10.0%
2.312481906 1
10.0%
ValueCountFrequency (%)
-1.569883928 1
10.0%
-1.214275105 1
10.0%
-0.2016579127 1
10.0%
-0.1071296348 1
10.0%
0.3785268189 1
10.0%
ValueCountFrequency (%)
2.312481906 1
10.0%
1.425125187 1
10.0%
1.227322438 1
10.0%
0.8646877408 1
10.0%
0.3825999593 1
10.0%

ustreb2ret
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.181075395
Minimum-1.785258468
Maximum1.675336516
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)40.0%
Memory size160.0 B
2025-03-30T10:44:19.830040image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.785258468
5-th percentile-1.498577368
Q1-0.7398607335
median0.3887596565
Q31.124088434
95-th percentile1.557381421
Maximum1.675336516
Range3.460594984
Interquartile range (IQR)1.863949167

Descriptive statistics

Standard deviation1.177107104
Coefficient of variation (CV)6.500646338
Kurtosis-1.14956109
Mean0.181075395
Median Absolute Deviation (MAD)0.921705763
Skewness-0.3896723605
Sum1.81075395
Variance1.385581133
MonotonicityNot monotonic
2025-03-30T10:44:20.250456image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1.675336516 1
10.0%
-1.785258468 1
10.0%
0.1782435177 1
10.0%
0.873203468 1
10.0%
-1.148189358 1
10.0%
-0.3244610722 1
10.0%
0.5992757952 1
10.0%
1.207716756 1
10.0%
-0.8783272872 1
10.0%
1.413214083 1
10.0%
ValueCountFrequency (%)
-1.785258468 1
10.0%
-1.148189358 1
10.0%
-0.8783272872 1
10.0%
-0.3244610722 1
10.0%
0.1782435177 1
10.0%
ValueCountFrequency (%)
1.675336516 1
10.0%
1.413214083 1
10.0%
1.207716756 1
10.0%
0.873203468 1
10.0%
0.5992757952 1
10.0%

ustreb2ind
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.364234573
Minimum-1.722101625
Maximum1.384948487
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)50.0%
Memory size160.0 B
2025-03-30T10:44:20.676415image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.722101625
5-th percentile-1.679542252
Q1-1.352695129
median-0.3170564683
Q30.3817607434
95-th percentile1.220540647
Maximum1.384948487
Range3.107050112
Interquartile range (IQR)1.734455872

Descriptive statistics

Standard deviation1.124516269
Coefficient of variation (CV)-3.087340831
Kurtosis-1.439703007
Mean-0.364234573
Median Absolute Deviation (MAD)0.992976271
Skewness0.2421735496
Sum-3.64234573
Variance1.26453684
MonotonicityNot monotonic
2025-03-30T10:44:21.100868image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-1.722101625 1
10.0%
1.384948487 1
10.0%
0.07184850921 1
10.0%
0.03432199683 1
10.0%
-1.224707961 1
10.0%
-1.62752524 1
10.0%
0.4850648215 1
10.0%
1.019597732 1
10.0%
-0.6684349334 1
10.0%
-1.395357518 1
10.0%
ValueCountFrequency (%)
-1.722101625 1
10.0%
-1.62752524 1
10.0%
-1.395357518 1
10.0%
-1.224707961 1
10.0%
-0.6684349334 1
10.0%
ValueCountFrequency (%)
1.384948487 1
10.0%
1.019597732 1
10.0%
0.4850648215 1
10.0%
0.07184850921 1
10.0%
0.03432199683 1
10.0%

ustreb1ret
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.08589428064
Minimum-1.234613308
Maximum1.443613807
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)50.0%
Memory size160.0 B
2025-03-30T10:44:21.538434image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.234613308
5-th percentile-1.20621576
Q1-1.016749847
median-0.3080157022
Q30.7821417542
95-th percentile1.340842691
Maximum1.443613807
Range2.678227115
Interquartile range (IQR)1.798891601

Descriptive statistics

Standard deviation1.039716944
Coefficient of variation (CV)-12.10461204
Kurtosis-1.748139475
Mean-0.08589428064
Median Absolute Deviation (MAD)0.8363369408
Skewness0.3054552117
Sum-0.8589428064
Variance1.081011323
MonotonicityNot monotonic
2025-03-30T10:44:22.581275image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1.215233549 1
10.0%
1.443613807 1
10.0%
0.5011662364 1
10.0%
-1.097197543 1
10.0%
-0.7754067584 1
10.0%
-1.171507645 1
10.0%
0.8758002601 1
10.0%
-0.7156475641 1
10.0%
-1.234613308 1
10.0%
0.09961615985 1
10.0%
ValueCountFrequency (%)
-1.234613308 1
10.0%
-1.171507645 1
10.0%
-1.097197543 1
10.0%
-0.7754067584 1
10.0%
-0.7156475641 1
10.0%
ValueCountFrequency (%)
1.443613807 1
10.0%
1.215233549 1
10.0%
0.8758002601 1
10.0%
0.5011662364 1
10.0%
0.09961615985 1
10.0%

ustreb1ind
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.4160970618
Minimum-1.693160128
Maximum0.5816700729
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)60.0%
Memory size160.0 B
2025-03-30T10:44:23.040843image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.693160128
5-th percentile-1.623640053
Q1-0.7030976487
median-0.3940380144
Q30.2207454028
95-th percentile0.4760203017
Maximum0.5816700729
Range2.274830201
Interquartile range (IQR)0.9238430515

Descriptive statistics

Standard deviation0.7693086948
Coefficient of variation (CV)-1.848868366
Kurtosis-0.6815276618
Mean-0.4160970618
Median Absolute Deviation (MAD)0.5514636131
Skewness-0.5092428619
Sum-4.160970618
Variance0.5918358679
MonotonicityNot monotonic
2025-03-30T10:44:23.469131image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-1.693160128 1
10.0%
0.5816700729 1
10.0%
-0.6705208949 1
10.0%
0.03078599018 1
10.0%
-0.7139565666 1
10.0%
-0.3121512173 1
10.0%
0.3468928037 1
10.0%
-1.538671073 1
10.0%
0.2840652071 1
10.0%
-0.4759248115 1
10.0%
ValueCountFrequency (%)
-1.693160128 1
10.0%
-1.538671073 1
10.0%
-0.7139565666 1
10.0%
-0.6705208949 1
10.0%
-0.4759248115 1
10.0%
ValueCountFrequency (%)
0.5816700729 1
10.0%
0.3468928037 1
10.0%
0.2840652071 1
10.0%
0.03078599018 1
10.0%
-0.3121512173 1
10.0%

ustret90ret
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.08462107054
Minimum-1.102763911
Maximum2.090214687
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)70.0%
Memory size160.0 B
2025-03-30T10:44:23.879488image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.102763911
5-th percentile-1.078409537
Q1-0.8765908739
median-0.3744859023
Q30.005771346114
95-th percentile1.949051489
Maximum2.090214687
Range3.192978598
Interquartile range (IQR)0.88236222

Descriptive statistics

Standard deviation1.131560996
Coefficient of variation (CV)-13.37209502
Kurtosis0.5880538128
Mean-0.08462107054
Median Absolute Deviation (MAD)0.4940552221
Skewness1.327302336
Sum-0.8462107054
Variance1.280430288
MonotonicityNot monotonic
2025-03-30T10:44:24.312506image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-1.048643079 1
10.0%
2.090214687 1
10.0%
-0.3760688078 1
10.0%
-0.9117334276 1
10.0%
-0.3729029969 1
10.0%
-0.7711632127 1
10.0%
-0.2060456654 1
10.0%
-1.102763911 1
10.0%
0.07637701661 1
10.0%
1.776518691 1
10.0%
ValueCountFrequency (%)
-1.102763911 1
10.0%
-1.048643079 1
10.0%
-0.9117334276 1
10.0%
-0.7711632127 1
10.0%
-0.3760688078 1
10.0%
ValueCountFrequency (%)
2.090214687 1
10.0%
1.776518691 1
10.0%
0.07637701661 1
10.0%
-0.2060456654 1
10.0%
-0.3729029969 1
10.0%

ustret90ind
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.01401541246
Minimum-1.89458033
Maximum2.455896437
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)50.0%
Memory size160.0 B
2025-03-30T10:44:24.749015image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.89458033
5-th percentile-1.747750292
Q1-0.5590406516
median0.09101672776
Q30.4533243932
95-th percentile1.665544753
Maximum2.455896437
Range4.350476767
Interquartile range (IQR)1.012365045

Descriptive statistics

Standard deviation1.233569426
Coefficient of variation (CV)-88.01520682
Kurtosis0.9508003576
Mean-0.01401541246
Median Absolute Deviation (MAD)0.4878571679
Skewness0.3703916696
Sum-0.1401541246
Variance1.521693529
MonotonicityNot monotonic
2025-03-30T10:44:25.179253image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.4132340808 1
10.0%
-0.6622351004 1
10.0%
-0.2494573054 1
10.0%
0.6995593614 1
10.0%
-0.2312006253 1
10.0%
0.4581884299 1
10.0%
-1.568291356 1
10.0%
-1.89458033 1
10.0%
2.455896437 1
10.0%
0.4387322832 1
10.0%
ValueCountFrequency (%)
-1.89458033 1
10.0%
-1.568291356 1
10.0%
-0.6622351004 1
10.0%
-0.2494573054 1
10.0%
-0.2312006253 1
10.0%
ValueCountFrequency (%)
2.455896437 1
10.0%
0.6995593614 1
10.0%
0.4581884299 1
10.0%
0.4387322832 1
10.0%
0.4132340808 1
10.0%

ustret30ret
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2135194233
Minimum-2.217052392
Maximum1.306302787
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)60.0%
Memory size160.0 B
2025-03-30T10:44:25.577312image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.217052392
5-th percentile-1.914739114
Q1-0.6308070096
median-0.2765041844
Q30.7143917808
95-th percentile1.171567479
Maximum1.306302787
Range3.523355178
Interquartile range (IQR)1.34519879

Descriptive statistics

Standard deviation1.119867183
Coefficient of variation (CV)-5.244802394
Kurtosis-0.4001616727
Mean-0.2135194233
Median Absolute Deviation (MAD)0.8124975008
Skewness-0.3746131147
Sum-2.135194233
Variance1.254102507
MonotonicityNot monotonic
2025-03-30T10:44:26.016392image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.6590796317 1
10.0%
0.1791963877 1
10.0%
-0.5459891431 1
10.0%
-1.545245109 1
10.0%
-0.2270936064 1
10.0%
-0.3259147623 1
10.0%
-2.217052392 1
10.0%
0.8927902452 1
10.0%
1.006890991 1
10.0%
1.306302787 1
10.0%
ValueCountFrequency (%)
-2.217052392 1
10.0%
-1.545245109 1
10.0%
-0.6590796317 1
10.0%
-0.5459891431 1
10.0%
-0.3259147623 1
10.0%
ValueCountFrequency (%)
1.306302787 1
10.0%
1.006890991 1
10.0%
0.8927902452 1
10.0%
0.1791963877 1
10.0%
-0.2270936064 1
10.0%

ustret30ind
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7756212893
Minimum-1.068136202
Maximum2.490223777
Zeros0
Zeros (%)0.0%
Negative2
Negative (%)20.0%
Memory size160.0 B
2025-03-30T10:44:26.437735image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.068136202
5-th percentile-0.8281785782
Q10.2300356779
median0.6889772868
Q31.537843647
95-th percentile2.219616102
Maximum2.490223777
Range3.558359979
Interquartile range (IQR)1.307807969

Descriptive statistics

Standard deviation1.102208136
Coefficient of variation (CV)1.42106483
Kurtosis-0.5750666355
Mean0.7756212893
Median Absolute Deviation (MAD)0.829466043
Skewness-0.1604983334
Sum7.756212893
Variance1.214862775
MonotonicityNot monotonic
2025-03-30T10:44:26.868885image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1.479642696 1
10.0%
0.7518080658 1
10.0%
1.557243964 1
10.0%
0.1774174885 1
10.0%
1.888873388 1
10.0%
-1.068136202 1
10.0%
-0.5348970378 1
10.0%
2.490223777 1
10.0%
0.6261465078 1
10.0%
0.3878902464 1
10.0%
ValueCountFrequency (%)
-1.068136202 1
10.0%
-0.5348970378 1
10.0%
0.1774174885 1
10.0%
0.3878902464 1
10.0%
0.6261465078 1
10.0%
ValueCountFrequency (%)
2.490223777 1
10.0%
1.888873388 1
10.0%
1.557243964 1
10.0%
1.479642696 1
10.0%
0.7518080658 1
10.0%

ustrecpiret
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1814305377
Minimum-1.971001719
Maximum1.377159869
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)40.0%
Memory size160.0 B
2025-03-30T10:44:27.297922image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.971001719
5-th percentile-1.55577765
Q1-0.1462503953
median0.2995199415
Q30.994544798
95-th percentile1.355021293
Maximum1.377159869
Range3.348161588
Interquartile range (IQR)1.140795193

Descriptive statistics

Standard deviation1.063763654
Coefficient of variation (CV)5.86320069
Kurtosis0.4895331589
Mean0.1814305377
Median Absolute Deviation (MAD)0.6423006271
Skewness-0.8964166012
Sum1.814305377
Variance1.131593111
MonotonicityNot monotonic
2025-03-30T10:44:27.759133image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.278910718 1
10.0%
1.327963035 1
10.0%
-0.1763626931 1
10.0%
-1.048281565 1
10.0%
0.320129165 1
10.0%
1.108238561 1
10.0%
1.377159869 1
10.0%
0.6534635089 1
10.0%
-1.971001719 1
10.0%
-0.05591350205 1
10.0%
ValueCountFrequency (%)
-1.971001719 1
10.0%
-1.048281565 1
10.0%
-0.1763626931 1
10.0%
-0.05591350205 1
10.0%
0.278910718 1
10.0%
ValueCountFrequency (%)
1.377159869 1
10.0%
1.327963035 1
10.0%
1.108238561 1
10.0%
0.6534635089 1
10.0%
0.320129165 1
10.0%

ajexm
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2761067874
Minimum-1.365518422
Maximum0.4803366948
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)70.0%
Memory size160.0 B
2025-03-30T10:44:28.235245image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.365518422
5-th percentile-1.103442908
Q1-0.6328247359
median-0.2478094245
Q30.1494102914
95-th percentile0.4250830707
Maximum0.4803366948
Range1.845855117
Interquartile range (IQR)0.7822350273

Descriptive statistics

Standard deviation0.5705858023
Coefficient of variation (CV)-2.066540296
Kurtosis-0.1091279518
Mean-0.2761067874
Median Absolute Deviation (MAD)0.4526683467
Skewness-0.5122890716
Sum-2.761067874
Variance0.3255681578
MonotonicityNot monotonic
2025-03-30T10:44:28.697230image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.3187636889 1
10.0%
0.207926345 1
10.0%
-0.02613786928 1
10.0%
0.4803366948 1
10.0%
-0.1768551601 1
10.0%
-0.4390678986 1
10.0%
-1.365518422 1
10.0%
-0.7831283901 1
10.0%
-0.6974103483 1
10.0%
0.3575508635 1
10.0%
ValueCountFrequency (%)
-1.365518422 1
10.0%
-0.7831283901 1
10.0%
-0.6974103483 1
10.0%
-0.4390678986 1
10.0%
-0.3187636889 1
10.0%
ValueCountFrequency (%)
0.4803366948 1
10.0%
0.3575508635 1
10.0%
0.207926345 1
10.0%
-0.02613786928 1
10.0%
-0.1768551601 1
10.0%

ajpm
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2459781331
Minimum-1.842618142
Maximum1.781117991
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)30.0%
Memory size160.0 B
2025-03-30T10:44:29.159456image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.842618142
5-th percentile-1.56079855
Q1-0.3677845806
median0.3461974689
Q31.060792879
95-th percentile1.733816304
Maximum1.781117991
Range3.623736133
Interquartile range (IQR)1.42857746

Descriptive statistics

Standard deviation1.18469325
Coefficient of variation (CV)4.816254336
Kurtosis-0.5143025417
Mean0.2459781331
Median Absolute Deviation (MAD)0.8533880494
Skewness-0.432224403
Sum2.459781331
Variance1.403498096
MonotonicityNot monotonic
2025-03-30T10:44:29.652653image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.4854360367 1
10.0%
0.03692777526 1
10.0%
1.2040874 1
10.0%
-1.842618142 1
10.0%
1.781117991 1
10.0%
1.676003132 1
10.0%
0.2069589011 1
10.0%
0.6309093189 1
10.0%
-1.216352383 1
10.0%
-0.5026886992 1
10.0%
ValueCountFrequency (%)
-1.842618142 1
10.0%
-1.216352383 1
10.0%
-0.5026886992 1
10.0%
0.03692777526 1
10.0%
0.2069589011 1
10.0%
ValueCountFrequency (%)
1.781117991 1
10.0%
1.676003132 1
10.0%
1.2040874 1
10.0%
0.6309093189 1
10.0%
0.4854360367 1
10.0%

cshtrm
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04748252429
Minimum-1.49073938
Maximum1.779353126
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)60.0%
Memory size160.0 B
2025-03-30T10:44:30.112461image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.49073938
5-th percentile-1.484251403
Q1-0.6602469855
median-0.06948595648
Q30.8621307338
95-th percentile1.591226125
Maximum1.779353126
Range3.270092505
Interquartile range (IQR)1.522377719

Descriptive statistics

Standard deviation1.121369138
Coefficient of variation (CV)23.61646005
Kurtosis-0.9761214085
Mean0.04748252429
Median Absolute Deviation (MAD)0.9062144583
Skewness0.05427917801
Sum0.4748252429
Variance1.257468743
MonotonicityNot monotonic
2025-03-30T10:44:30.528933image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.8143836951 1
10.0%
-0.1149814032 1
10.0%
-1.476321655 1
10.0%
-0.1978368568 1
10.0%
1.779353126 1
10.0%
0.4543872704 1
10.0%
-0.02399050972 1
10.0%
0.9980452216 1
10.0%
1.361293124 1
10.0%
-1.49073938 1
10.0%
ValueCountFrequency (%)
-1.49073938 1
10.0%
-1.476321655 1
10.0%
-0.8143836951 1
10.0%
-0.1978368568 1
10.0%
-0.1149814032 1
10.0%
ValueCountFrequency (%)
1.779353126 1
10.0%
1.361293124 1
10.0%
0.9980452216 1
10.0%
0.4543872704 1
10.0%
-0.02399050972 1
10.0%

prccm
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1256828783
Minimum-1.889726352
Maximum1.935260563
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)50.0%
Memory size160.0 B
2025-03-30T10:44:31.018662image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.889726352
5-th percentile-1.511250108
Q1-0.8009850769
median-0.02919774331
Q30.3599712204
95-th percentile1.273244066
Maximum1.935260563
Range3.824986915
Interquartile range (IQR)1.160956297

Descriptive statistics

Standard deviation1.041009537
Coefficient of variation (CV)-8.282826996
Kurtosis1.087045854
Mean-0.1256828783
Median Absolute Deviation (MAD)0.4734392682
Skewness0.2793302323
Sum-1.256828783
Variance1.083700857
MonotonicityNot monotonic
2025-03-30T10:44:31.481089image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-1.048668031 1
10.0%
-0.2738647934 1
10.0%
1.935260563 1
10.0%
0.1667741052 1
10.0%
-1.889726352 1
10.0%
0.4243702588 1
10.0%
-0.976691838 1
10.0%
0.4641127909 1
10.0%
-0.1729466748 1
10.0%
0.1145511882 1
10.0%
ValueCountFrequency (%)
-1.889726352 1
10.0%
-1.048668031 1
10.0%
-0.976691838 1
10.0%
-0.2738647934 1
10.0%
-0.1729466748 1
10.0%
ValueCountFrequency (%)
1.935260563 1
10.0%
0.4641127909 1
10.0%
0.4243702588 1
10.0%
0.1667741052 1
10.0%
0.1145511882 1
10.0%

prchm
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05802811724
Minimum-1.050892232
Maximum1.357940156
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)50.0%
Memory size160.0 B
2025-03-30T10:44:31.991903image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.050892232
5-th percentile-0.8827713786
Q1-0.3162227525
median0.01739205313
Q30.2292122873
95-th percentile1.220230934
Maximum1.357940156
Range2.408832388
Interquartile range (IQR)0.5454350398

Descriptive statistics

Standard deviation0.7250651879
Coefficient of variation (CV)12.49506657
Kurtosis0.1404510941
Mean0.05802811724
Median Absolute Deviation (MAD)0.3155977861
Skewness0.4873443954
Sum0.5802811724
Variance0.5257195267
MonotonicityNot monotonic
2025-03-30T10:44:32.450422image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.159201395 1
10.0%
0.2626323671 1
10.0%
-0.368563205 1
10.0%
1.357940156 1
10.0%
-1.050892232 1
10.0%
-0.6772903351 1
10.0%
0.06279006983 1
10.0%
1.051919663 1
10.0%
0.1289520479 1
10.0%
-0.02800596358 1
10.0%
ValueCountFrequency (%)
-1.050892232 1
10.0%
-0.6772903351 1
10.0%
-0.368563205 1
10.0%
-0.159201395 1
10.0%
-0.02800596358 1
10.0%
ValueCountFrequency (%)
1.357940156 1
10.0%
1.051919663 1
10.0%
0.2626323671 1
10.0%
0.1289520479 1
10.0%
0.06279006983 1
10.0%

prclm
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1467611966
Minimum-0.867581966
Maximum1.908597872
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)80.0%
Memory size160.0 B
2025-03-30T10:44:32.866987image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.867581966
5-th percentile-0.7988159193
Q1-0.6408595815
median-0.3756485984
Q3-0.2208017409
95-th percentile1.3227871
Maximum1.908597872
Range2.776179838
Interquartile range (IQR)0.4200578405

Descriptive statistics

Standard deviation0.827881009
Coefficient of variation (CV)-5.641007489
Kurtosis4.327153461
Mean-0.1467611966
Median Absolute Deviation (MAD)0.251870715
Skewness2.037613979
Sum-1.467611966
Variance0.6853869651
MonotonicityNot monotonic
2025-03-30T10:44:33.313828image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.7011924616 1
10.0%
-0.7147685288 1
10.0%
-0.3618343094 1
10.0%
-0.459860941 1
10.0%
0.6067961573 1
10.0%
1.908597872 1
10.0%
-0.867581966 1
10.0%
-0.3894628873 1
10.0%
-0.2908538691 1
10.0%
-0.1974510316 1
10.0%
ValueCountFrequency (%)
-0.867581966 1
10.0%
-0.7147685288 1
10.0%
-0.7011924616 1
10.0%
-0.459860941 1
10.0%
-0.3894628873 1
10.0%
ValueCountFrequency (%)
1.908597872 1
10.0%
0.6067961573 1
10.0%
-0.1974510316 1
10.0%
-0.2908538691 1
10.0%
-0.3618343094 1
10.0%

trfm
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1936696781
Minimum-2.437469736
Maximum1.341432818
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)60.0%
Memory size160.0 B
2025-03-30T10:44:33.760303image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.437469736
5-th percentile-1.966456402
Q1-0.8204503789
median-0.1388410061
Q30.7117980945
95-th percentile1.206382941
Maximum1.341432818
Range3.778902554
Interquartile range (IQR)1.532248473

Descriptive statistics

Standard deviation1.172007111
Coefficient of variation (CV)-6.051577731
Kurtosis-0.08924362316
Mean-0.1936696781
Median Absolute Deviation (MAD)0.8712395793
Skewness-0.5776388543
Sum-1.936696781
Variance1.373600669
MonotonicityNot monotonic
2025-03-30T10:44:34.222664image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1.341432818 1
10.0%
0.8159688933 1
10.0%
-0.5022707196 1
10.0%
-0.09584437071 1
10.0%
1.04132198 1
10.0%
-0.9265102654 1
10.0%
0.3992856982 1
10.0%
-1.390773437 1
10.0%
-0.1818376416 1
10.0%
-2.437469736 1
10.0%
ValueCountFrequency (%)
-2.437469736 1
10.0%
-1.390773437 1
10.0%
-0.9265102654 1
10.0%
-0.5022707196 1
10.0%
-0.1818376416 1
10.0%
ValueCountFrequency (%)
1.341432818 1
10.0%
1.04132198 1
10.0%
0.8159688933 1
10.0%
0.3992856982 1
10.0%
-0.09584437071 1
10.0%

trt1m
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03577031034
Minimum-2.43739014
Maximum1.538400741
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)40.0%
Memory size160.0 B
2025-03-30T10:44:34.684010image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.43739014
5-th percentile-1.72911465
Q1-0.3582655366
median0.09964745455
Q30.8962975098
95-th percentile1.417895264
Maximum1.538400741
Range3.975790881
Interquartile range (IQR)1.254563046

Descriptive statistics

Standard deviation1.166105625
Coefficient of variation (CV)32.5998185
Kurtosis1.203453264
Mean0.03577031034
Median Absolute Deviation (MAD)0.7201973327
Skewness-0.8210393825
Sum0.3577031034
Variance1.359802328
MonotonicityNot monotonic
2025-03-30T10:44:35.160500image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-2.43739014 1
10.0%
0.1930326288 1
10.0%
1.270610791 1
10.0%
0.00626228026 1
10.0%
-0.3000966961 1
10.0%
-0.3776551501 1
10.0%
1.128603392 1
10.0%
1.538400741 1
10.0%
-0.8634446062 1
10.0%
0.1993798628 1
10.0%
ValueCountFrequency (%)
-2.43739014 1
10.0%
-0.8634446062 1
10.0%
-0.3776551501 1
10.0%
-0.3000966961 1
10.0%
0.00626228026 1
10.0%
ValueCountFrequency (%)
1.538400741 1
10.0%
1.270610791 1
10.0%
1.128603392 1
10.0%
0.1993798628 1
10.0%
0.1930326288 1
10.0%

index_y
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3201706726
Minimum-2.041361596
Maximum2.240615664
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)70.0%
Memory size160.0 B
2025-03-30T10:44:35.671494image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.041361596
5-th percentile-1.735865998
Q1-0.9669380394
median-0.3911528946
Q30.03626870593
95-th percentile1.445041867
Maximum2.240615664
Range4.281977261
Interquartile range (IQR)1.003206745

Descriptive statistics

Standard deviation1.170435839
Coefficient of variation (CV)-3.655662241
Kurtosis1.906590225
Mean-0.3201706726
Median Absolute Deviation (MAD)0.5484553646
Skewness0.9231260385
Sum-3.201706726
Variance1.369920052
MonotonicityNot monotonic
2025-03-30T10:44:36.115988image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-2.041361596 1
10.0%
-0.7270128684 1
10.0%
-1.36248249 1
10.0%
2.240615664 1
10.0%
0.04999763293 1
10.0%
-0.1136836752 1
10.0%
0.4726738916 1
10.0%
-0.004918075067 1
10.0%
-1.046913096 1
10.0%
-0.668622114 1
10.0%
ValueCountFrequency (%)
-2.041361596 1
10.0%
-1.36248249 1
10.0%
-1.046913096 1
10.0%
-0.7270128684 1
10.0%
-0.668622114 1
10.0%
ValueCountFrequency (%)
2.240615664 1
10.0%
0.4726738916 1
10.0%
0.04999763293 1
10.0%
-0.004918075067 1
10.0%
-0.1136836752 1
10.0%

CAPEI
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.03578829024
Minimum-1.12501903
Maximum1.478916554
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)60.0%
Memory size160.0 B
2025-03-30T10:44:36.530064image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.12501903
5-th percentile-1.033737559
Q1-0.7742838868
median-0.351088484
Q30.6863398272
95-th percentile1.326665254
Maximum1.478916554
Range2.603935584
Interquartile range (IQR)1.460623714

Descriptive statistics

Standard deviation0.9362406587
Coefficient of variation (CV)-26.16053051
Kurtosis-1.419622533
Mean-0.03578829024
Median Absolute Deviation (MAD)0.6725066898
Skewness0.4946423492
Sum-0.3578829024
Variance0.876546571
MonotonicityNot monotonic
2025-03-30T10:44:36.992734image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.9221713174 1
10.0%
1.140580331 1
10.0%
-0.746954683 1
10.0%
1.478916554 1
10.0%
-0.4546085416 1
10.0%
-0.7833936215 1
10.0%
-0.2475684264 1
10.0%
-1.12501903 1
10.0%
0.5808240946 1
10.0%
0.7215117381 1
10.0%
ValueCountFrequency (%)
-1.12501903 1
10.0%
-0.9221713174 1
10.0%
-0.7833936215 1
10.0%
-0.746954683 1
10.0%
-0.4546085416 1
10.0%
ValueCountFrequency (%)
1.478916554 1
10.0%
1.140580331 1
10.0%
0.7215117381 1
10.0%
0.5808240946 1
10.0%
-0.2475684264 1
10.0%

bm
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.483864844
Minimum-0.863288121
Maximum1.816808774
Zeros0
Zeros (%)0.0%
Negative2
Negative (%)20.0%
Memory size160.0 B
2025-03-30T10:44:37.407708image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.863288121
5-th percentile-0.5727438146
Q10.1217033214
median0.4172884656
Q31.006606856
95-th percentile1.555295104
Maximum1.816808774
Range2.680096895
Interquartile range (IQR)0.8849035347

Descriptive statistics

Standard deviation0.7706704947
Coefficient of variation (CV)1.59273918
Kurtosis0.1293574255
Mean0.483864844
Median Absolute Deviation (MAD)0.4734901326
Skewness0.05941666962
Sum4.83864844
Variance0.5939330113
MonotonicityNot monotonic
2025-03-30T10:44:37.837432image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.1711209673 1
10.0%
0.1052307728 1
10.0%
0.6210351932 1
10.0%
1.816808774 1
10.0%
0.4592913468 1
10.0%
1.135130744 1
10.0%
1.235667286 1
10.0%
-0.2176341069 1
10.0%
0.3752855844 1
10.0%
-0.863288121 1
10.0%
ValueCountFrequency (%)
-0.863288121 1
10.0%
-0.2176341069 1
10.0%
0.1052307728 1
10.0%
0.1711209673 1
10.0%
0.3752855844 1
10.0%
ValueCountFrequency (%)
1.816808774 1
10.0%
1.235667286 1
10.0%
1.135130744 1
10.0%
0.6210351932 1
10.0%
0.4592913468 1
10.0%

evm
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2759263587
Minimum-1.762934752
Maximum2.437670488
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)40.0%
Memory size160.0 B
2025-03-30T10:44:38.251600image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.762934752
5-th percentile-1.470595208
Q1-0.1313649091
median0.07006869723
Q31.154323928
95-th percentile2.026834384
Maximum2.437670488
Range4.200605241
Interquartile range (IQR)1.285688838

Descriptive statistics

Standard deviation1.249297345
Coefficient of variation (CV)4.527647706
Kurtosis-0.1171985697
Mean0.2759263587
Median Absolute Deviation (MAD)0.7148465002
Skewness0.1644229982
Sum2.759263587
Variance1.560743857
MonotonicityNot monotonic
2025-03-30T10:44:38.632406image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.05027912163 1
10.0%
-1.762934752 1
10.0%
1.433631344 1
10.0%
2.437670488 1
10.0%
1.524701369 1
10.0%
-0.06284910737 1
10.0%
0.3164016808 1
10.0%
-1.11329132 1
10.0%
-0.1542035097 1
10.0%
0.08985827283 1
10.0%
ValueCountFrequency (%)
-1.762934752 1
10.0%
-1.11329132 1
10.0%
-0.1542035097 1
10.0%
-0.06284910737 1
10.0%
0.05027912163 1
10.0%
ValueCountFrequency (%)
2.437670488 1
10.0%
1.524701369 1
10.0%
1.433631344 1
10.0%
0.3164016808 1
10.0%
0.08985827283 1
10.0%

pe_op_basic
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5961426442
Minimum-1.113762844
Maximum1.884431018
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)30.0%
Memory size160.0 B
2025-03-30T10:44:39.029813image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.113762844
5-th percentile-0.8978657204
Q1-0.1528677754
median0.9731395307
Q31.184358514
95-th percentile1.766146707
Maximum1.884431018
Range2.998193862
Interquartile range (IQR)1.337226289

Descriptive statistics

Standard deviation1.001270088
Coefficient of variation (CV)1.679581385
Kurtosis-0.9591518319
Mean0.5961426442
Median Absolute Deviation (MAD)0.7135798862
Skewness-0.5314324291
Sum5.961426442
Variance1.002541789
MonotonicityNot monotonic
2025-03-30T10:44:39.476186image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1.095438579 1
10.0%
1.203164082 1
10.0%
0.1944172211 1
10.0%
-0.2686294409 1
10.0%
1.621576994 1
10.0%
1.127941809 1
10.0%
0.8508404828 1
10.0%
-1.113762844 1
10.0%
1.884431018 1
10.0%
-0.6339914585 1
10.0%
ValueCountFrequency (%)
-1.113762844 1
10.0%
-0.6339914585 1
10.0%
-0.2686294409 1
10.0%
0.1944172211 1
10.0%
0.8508404828 1
10.0%
ValueCountFrequency (%)
1.884431018 1
10.0%
1.621576994 1
10.0%
1.203164082 1
10.0%
1.127941809 1
10.0%
1.095438579 1
10.0%

pe_op_dil
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3030420311
Minimum-1.525814983
Maximum0.5470311091
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)70.0%
Memory size160.0 B
2025-03-30T10:44:39.938271image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.525814983
5-th percentile-1.312656634
Q1-0.7385650741
median-0.3014386281
Q30.3369119203
95-th percentile0.5437551159
Maximum0.5470311091
Range2.072846092
Interquartile range (IQR)1.075476994

Descriptive statistics

Standard deviation0.7044687743
Coefficient of variation (CV)-2.324656985
Kurtosis-0.7817226018
Mean-0.3030420311
Median Absolute Deviation (MAD)0.6296329338
Skewness-0.2758546144
Sum-3.030420311
Variance0.496276254
MonotonicityNot monotonic
2025-03-30T10:44:40.401505image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.4748973244 1
10.0%
-1.525814983 1
10.0%
-0.07704429208 1
10.0%
0.5470311091 1
10.0%
-0.2147032827 1
10.0%
-0.3881739735 1
10.0%
-0.8100133608 1
10.0%
-0.5242202141 1
10.0%
0.5397511242 1
10.0%
-1.052129763 1
10.0%
ValueCountFrequency (%)
-1.525814983 1
10.0%
-1.052129763 1
10.0%
-0.8100133608 1
10.0%
-0.5242202141 1
10.0%
-0.3881739735 1
10.0%
ValueCountFrequency (%)
0.5470311091 1
10.0%
0.5397511242 1
10.0%
0.4748973244 1
10.0%
-0.07704429208 1
10.0%
-0.2147032827 1
10.0%

pe_exi
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.5540752643
Minimum-2.053508911
Maximum0.9722615175
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)60.0%
Memory size160.0 B
2025-03-30T10:44:40.846620image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.053508911
5-th percentile-1.961111468
Q1-1.490061868
median-0.5284509373
Q30.2920296657
95-th percentile0.8626250686
Maximum0.9722615175
Range3.025770429
Interquartile range (IQR)1.782091533

Descriptive statistics

Standard deviation1.092096599
Coefficient of variation (CV)-1.971025725
Kurtosis-1.541123855
Mean-0.5540752643
Median Absolute Deviation (MAD)0.9868381703
Skewness-0.0215621797
Sum-5.540752643
Variance1.192674982
MonotonicityNot monotonic
2025-03-30T10:44:41.372838image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.08941544806 1
10.0%
-1.848181259 1
10.0%
-2.053508911 1
10.0%
-1.614108602 1
10.0%
0.7286249644 1
10.0%
-0.2598351161 1
10.0%
-0.7970667585 1
10.0%
0.3595677383 1
10.0%
0.9722615175 1
10.0%
-1.117921664 1
10.0%
ValueCountFrequency (%)
-2.053508911 1
10.0%
-1.848181259 1
10.0%
-1.614108602 1
10.0%
-1.117921664 1
10.0%
-0.7970667585 1
10.0%
ValueCountFrequency (%)
0.9722615175 1
10.0%
0.7286249644 1
10.0%
0.3595677383 1
10.0%
0.08941544806 1
10.0%
-0.2598351161 1
10.0%

pe_inc
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1423726069
Minimum-1.121062781
Maximum1.180803061
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)30.0%
Memory size160.0 B
2025-03-30T10:44:41.894597image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.121062781
5-th percentile-0.7890864741
Q1-0.01915729128
median0.1713878823
Q30.2922764552
95-th percentile1.008307622
Maximum1.180803061
Range2.301865842
Interquartile range (IQR)0.3114337465

Descriptive statistics

Standard deviation0.6209506456
Coefficient of variation (CV)4.361447465
Kurtosis1.494472643
Mean0.1423726069
Median Absolute Deviation (MAD)0.1742530337
Skewness-0.4420960415
Sum1.423726069
Variance0.3855797042
MonotonicityNot monotonic
2025-03-30T10:44:42.324721image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.2822900899 1
10.0%
0.2136082583 1
10.0%
1.180803061 1
10.0%
-1.121062781 1
10.0%
0.2956052436 1
10.0%
0.08207330628 1
10.0%
-0.0529008238 1
10.0%
0.7974798636 1
10.0%
0.1291675063 1
10.0%
-0.3833376542 1
10.0%
ValueCountFrequency (%)
-1.121062781 1
10.0%
-0.3833376542 1
10.0%
-0.0529008238 1
10.0%
0.08207330628 1
10.0%
0.1291675063 1
10.0%
ValueCountFrequency (%)
1.180803061 1
10.0%
0.7974798636 1
10.0%
0.2956052436 1
10.0%
0.2822900899 1
10.0%
0.2136082583 1
10.0%

ps
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.07787895381
Minimum-0.841660617
Maximum1.188673982
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)60.0%
Memory size160.0 B
2025-03-30T10:44:42.768360image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.841660617
5-th percentile-0.8224870417
Q1-0.4823018204
median-0.2432358708
Q30.2608679118
95-th percentile0.9260293724
Maximum1.188673982
Range2.030334599
Interquartile range (IQR)0.7431697322

Descriptive statistics

Standard deviation0.6464110954
Coefficient of variation (CV)-8.300202606
Kurtosis0.006950928959
Mean-0.07787895381
Median Absolute Deviation (MAD)0.4946230451
Skewness0.7546801568
Sum-0.7787895381
Variance0.4178473043
MonotonicityNot monotonic
2025-03-30T10:44:43.381551image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.2438117227 1
10.0%
0.2703486492 1
10.0%
-0.2426600188 1
10.0%
1.188673982 1
10.0%
0.2324256996 1
10.0%
-0.4575045578 1
10.0%
-0.799052672 1
10.0%
0.6050192938 1
10.0%
-0.841660617 1
10.0%
-0.4905675746 1
10.0%
ValueCountFrequency (%)
-0.841660617 1
10.0%
-0.799052672 1
10.0%
-0.4905675746 1
10.0%
-0.4575045578 1
10.0%
-0.2438117227 1
10.0%
ValueCountFrequency (%)
1.188673982 1
10.0%
0.6050192938 1
10.0%
0.2703486492 1
10.0%
0.2324256996 1
10.0%
-0.2426600188 1
10.0%

pcf
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1346944685
Minimum-0.9686551323
Maximum1.579135596
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)40.0%
Memory size160.0 B
2025-03-30T10:44:43.943515image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.9686551323
5-th percentile-0.7905385386
Q1-0.4648053627
median0.2179425574
Q30.5521693794
95-th percentile1.186897155
Maximum1.579135596
Range2.547790729
Interquartile range (IQR)1.016974742

Descriptive statistics

Standard deviation0.7532042137
Coefficient of variation (CV)5.591946142
Kurtosis0.04710193145
Mean0.1346944685
Median Absolute Deviation (MAD)0.5375878699
Skewness0.4065578551
Sum1.346944685
Variance0.5673165875
MonotonicityNot monotonic
2025-03-30T10:44:44.420455image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1.579135596 1
10.0%
-0.5728404796 1
10.0%
-0.3676811235 1
10.0%
0.7074946164 1
10.0%
0.4418405449 1
10.0%
-0.9686551323 1
10.0%
0.5889456575 1
10.0%
-0.4971801092 1
10.0%
0.1580969164 1
10.0%
0.2777881984 1
10.0%
ValueCountFrequency (%)
-0.9686551323 1
10.0%
-0.5728404796 1
10.0%
-0.4971801092 1
10.0%
-0.3676811235 1
10.0%
0.1580969164 1
10.0%
ValueCountFrequency (%)
1.579135596 1
10.0%
0.7074946164 1
10.0%
0.5889456575 1
10.0%
0.4418405449 1
10.0%
0.2777881984 1
10.0%

npm
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08852339791
Minimum-1.98789688
Maximum1.859826762
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)50.0%
Memory size160.0 B
2025-03-30T10:44:44.960360image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.98789688
5-th percentile-1.458297702
Q1-0.4741784684
median-0.07468023968
Q30.860464181
95-th percentile1.533132502
Maximum1.859826762
Range3.847723641
Interquartile range (IQR)1.334642649

Descriptive statistics

Standard deviation1.110956761
Coefficient of variation (CV)12.54986577
Kurtosis0.1173778229
Mean0.08852339791
Median Absolute Deviation (MAD)0.8018388294
Skewness-0.2487499901
Sum0.8852339791
Variance1.234224926
MonotonicityNot monotonic
2025-03-30T10:44:45.596870image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.06395047509 1
10.0%
-0.2133109544 1
10.0%
0.8830629612 1
10.0%
-0.8110098186 1
10.0%
1.859826762 1
10.0%
1.133839519 1
10.0%
-0.3054869511 1
10.0%
0.7926678402 1
10.0%
-0.5304089742 1
10.0%
-1.98789688 1
10.0%
ValueCountFrequency (%)
-1.98789688 1
10.0%
-0.8110098186 1
10.0%
-0.5304089742 1
10.0%
-0.3054869511 1
10.0%
-0.2133109544 1
10.0%
ValueCountFrequency (%)
1.859826762 1
10.0%
1.133839519 1
10.0%
0.8830629612 1
10.0%
0.7926678402 1
10.0%
0.06395047509 1
10.0%

opmbd
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1555088122
Minimum-1.628757729
Maximum2.634226418
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)50.0%
Memory size160.0 B
2025-03-30T10:44:46.156062image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.628757729
5-th percentile-1.412745466
Q1-0.902176329
median0.09588111218
Q30.7050141019
95-th percentile2.101529917
Maximum2.634226418
Range4.262984147
Interquartile range (IQR)1.607190431

Descriptive statistics

Standard deviation1.296272343
Coefficient of variation (CV)8.335684164
Kurtosis0.0348425439
Mean0.1555088122
Median Absolute Deviation (MAD)0.9282523722
Skewness0.484271384
Sum1.555088122
Variance1.680321988
MonotonicityNot monotonic
2025-03-30T10:44:46.573499image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1.450456415 1
10.0%
0.6688844267 1
10.0%
-0.1903630633 1
10.0%
0.7170573269 1
10.0%
0.2277508272 1
10.0%
-1.628757729 1
10.0%
-0.03598860286 1
10.0%
-1.139447418 1
10.0%
2.634226418 1
10.0%
-1.148730479 1
10.0%
ValueCountFrequency (%)
-1.628757729 1
10.0%
-1.148730479 1
10.0%
-1.139447418 1
10.0%
-0.1903630633 1
10.0%
-0.03598860286 1
10.0%
ValueCountFrequency (%)
2.634226418 1
10.0%
1.450456415 1
10.0%
0.7170573269 1
10.0%
0.6688844267 1
10.0%
0.2277508272 1
10.0%

opmad
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03983501739
Minimum-2.565931567
Maximum1.475375764
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)40.0%
Memory size160.0 B
2025-03-30T10:44:46.950203image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.565931567
5-th percentile-1.93222289
Q1-0.7343626889
median0.4488980373
Q30.8651328255
95-th percentile1.428925533
Maximum1.475375764
Range4.041307331
Interquartile range (IQR)1.599495514

Descriptive statistics

Standard deviation1.28105126
Coefficient of variation (CV)32.15892307
Kurtosis0.2896395275
Mean0.03983501739
Median Absolute Deviation (MAD)0.9526570785
Skewness-0.9009301061
Sum0.3983501739
Variance1.641092331
MonotonicityNot monotonic
2025-03-30T10:44:47.381535image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.5331611291 1
10.0%
1.475375764 1
10.0%
-1.157690063 1
10.0%
1.372153028 1
10.0%
0.5099279848 1
10.0%
0.8746466796 1
10.0%
-0.8014298754 1
10.0%
0.3878680897 1
10.0%
0.8365912631 1
10.0%
-2.565931567 1
10.0%
ValueCountFrequency (%)
-2.565931567 1
10.0%
-1.157690063 1
10.0%
-0.8014298754 1
10.0%
-0.5331611291 1
10.0%
0.3878680897 1
10.0%
ValueCountFrequency (%)
1.475375764 1
10.0%
1.372153028 1
10.0%
0.8746466796 1
10.0%
0.8365912631 1
10.0%
0.5099279848 1
10.0%

gpm
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.03538282139
Minimum-1.610996432
Maximum1.26740895
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)30.0%
Memory size160.0 B
2025-03-30T10:44:47.800251image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.610996432
5-th percentile-1.442888139
Q1-0.6902727107
median0.2114920664
Q30.3936550356
95-th percentile1.104444235
Maximum1.26740895
Range2.878405382
Interquartile range (IQR)1.083927746

Descriptive statistics

Standard deviation0.9324566855
Coefficient of variation (CV)-26.35337288
Kurtosis-0.6824231796
Mean-0.03538282139
Median Absolute Deviation (MAD)0.4415598219
Skewness-0.5431676732
Sum-0.3538282139
Variance0.8694754704
MonotonicityNot monotonic
2025-03-30T10:44:48.173381image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.3721042297 1
10.0%
-1.610996432 1
10.0%
1.26740895 1
10.0%
0.1819035367 1
10.0%
-1.237422447 1
10.0%
0.06952978437 1
10.0%
0.4008386375 1
10.0%
0.2410805962 1
10.0%
0.9052651393 1
10.0%
-0.943540209 1
10.0%
ValueCountFrequency (%)
-1.610996432 1
10.0%
-1.237422447 1
10.0%
-0.943540209 1
10.0%
0.06952978437 1
10.0%
0.1819035367 1
10.0%
ValueCountFrequency (%)
1.26740895 1
10.0%
0.9052651393 1
10.0%
0.4008386375 1
10.0%
0.3721042297 1
10.0%
0.2410805962 1
10.0%

ptpm
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1035601194
Minimum-1.00777779
Maximum2.085124461
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)60.0%
Memory size160.0 B
2025-03-30T10:44:48.554843image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.00777779
5-th percentile-0.8563767812
Q1-0.4948247304
median-0.2304446089
Q30.2582214449
95-th percentile1.856782598
Maximum2.085124461
Range3.092902252
Interquartile range (IQR)0.7530461752

Descriptive statistics

Standard deviation0.9908301788
Coefficient of variation (CV)9.567680923
Kurtosis0.7041997879
Mean0.1035601194
Median Absolute Deviation (MAD)0.3922410287
Skewness1.243599458
Sum1.035601194
Variance0.9817444432
MonotonicityNot monotonic
2025-03-30T10:44:48.945295image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.2605140339 1
10.0%
-0.2003751838 1
10.0%
-0.3707792647 1
10.0%
2.085124461 1
10.0%
-0.6713311035 1
10.0%
0.3065782751 1
10.0%
0.113150954 1
10.0%
1.577698099 1
10.0%
-0.5361732189 1
10.0%
-1.00777779 1
10.0%
ValueCountFrequency (%)
-1.00777779 1
10.0%
-0.6713311035 1
10.0%
-0.5361732189 1
10.0%
-0.3707792647 1
10.0%
-0.2605140339 1
10.0%
ValueCountFrequency (%)
2.085124461 1
10.0%
1.577698099 1
10.0%
0.3065782751 1
10.0%
0.113150954 1
10.0%
-0.2003751838 1
10.0%

cfm
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.01035649567
Minimum-1.235637823
Maximum1.883261567
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)40.0%
Memory size160.0 B
2025-03-30T10:44:49.354791image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.235637823
5-th percentile-1.196104119
Q1-1.010509827
median0.07989690153
Q30.7079686057
95-th percentile1.414930273
Maximum1.883261567
Range3.11889939
Interquartile range (IQR)1.718478433

Descriptive statistics

Standard deviation1.032810697
Coefficient of variation (CV)-99.72588511
Kurtosis-0.5748161112
Mean-0.01035649567
Median Absolute Deviation (MAD)0.7615373526
Skewness0.3881091114
Sum-0.1035649567
Variance1.066697936
MonotonicityNot monotonic
2025-03-30T10:44:49.763029image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.1128839949 1
10.0%
-0.6143465987 1
10.0%
-1.142564237 1
10.0%
-1.147785147 1
10.0%
0.3108449718 1
10.0%
-1.235637823 1
10.0%
0.8403431504 1
10.0%
0.04690980816 1
10.0%
0.8425253578 1
10.0%
1.883261567 1
10.0%
ValueCountFrequency (%)
-1.235637823 1
10.0%
-1.147785147 1
10.0%
-1.142564237 1
10.0%
-0.6143465987 1
10.0%
0.04690980816 1
10.0%
ValueCountFrequency (%)
1.883261567 1
10.0%
0.8425253578 1
10.0%
0.8403431504 1
10.0%
0.3108449718 1
10.0%
0.1128839949 1
10.0%

roa
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04895821525
Minimum-1.544752715
Maximum1.050964055
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)40.0%
Memory size160.0 B
2025-03-30T10:44:50.196033image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.544752715
5-th percentile-1.425406521
Q1-0.5100164336
median0.3626609832
Q30.7907788927
95-th percentile0.9892224113
Maximum1.050964055
Range2.59571677
Interquartile range (IQR)1.300795326

Descriptive statistics

Standard deviation0.9387314221
Coefficient of variation (CV)19.17413487
Kurtosis-0.9804180519
Mean0.04895821525
Median Absolute Deviation (MAD)0.6110646081
Skewness-0.688706531
Sum0.4895821525
Variance0.8812166828
MonotonicityNot monotonic
2025-03-30T10:44:50.713473image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.8268435275 1
10.0%
-0.5772323068 1
10.0%
1.050964055 1
10.0%
0.6374589931 1
10.0%
0.6825849884 1
10.0%
0.08786297334 1
10.0%
-0.3083688139 1
10.0%
0.9137604022 1
10.0%
-1.279538951 1
10.0%
-1.544752715 1
10.0%
ValueCountFrequency (%)
-1.544752715 1
10.0%
-1.279538951 1
10.0%
-0.5772323068 1
10.0%
-0.3083688139 1
10.0%
0.08786297334 1
10.0%
ValueCountFrequency (%)
1.050964055 1
10.0%
0.9137604022 1
10.0%
0.8268435275 1
10.0%
0.6825849884 1
10.0%
0.6374589931 1
10.0%

roe
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06932665013
Minimum-1.778348311
Maximum1.647920165
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)40.0%
Memory size160.0 B
2025-03-30T10:44:51.204434image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.778348311
5-th percentile-1.352571951
Q1-0.1464446179
median0.1478737087
Q30.3042640072
95-th percentile1.38795949
Maximum1.647920165
Range3.426268476
Interquartile range (IQR)0.4507086251

Descriptive statistics

Standard deviation0.9382086728
Coefficient of variation (CV)13.53316035
Kurtosis1.164308409
Mean0.06932665013
Median Absolute Deviation (MAD)0.2874812651
Skewness-0.3528544091
Sum0.6932665013
Variance0.8802355137
MonotonicityNot monotonic
2025-03-30T10:44:51.667619image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.1259334335 1
10.0%
0.09325716639 1
10.0%
1.070229775 1
10.0%
-0.1532816794 1
10.0%
-0.8321786229 1
10.0%
0.202490251 1
10.0%
0.3239724191 1
10.0%
1.647920165 1
10.0%
0.2451387716 1
10.0%
-1.778348311 1
10.0%
ValueCountFrequency (%)
-1.778348311 1
10.0%
-0.8321786229 1
10.0%
-0.1532816794 1
10.0%
-0.1259334335 1
10.0%
0.09325716639 1
10.0%
ValueCountFrequency (%)
1.647920165 1
10.0%
1.070229775 1
10.0%
0.3239724191 1
10.0%
0.2451387716 1
10.0%
0.202490251 1
10.0%

roce
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.001509749399
Minimum-1.472406329
Maximum0.8924636692
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)50.0%
Memory size160.0 B
2025-03-30T10:44:52.111028image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.472406329
5-th percentile-1.331321426
Q1-0.3439879417
median0.0647384924
Q30.7111158262
95-th percentile0.8781148973
Maximum0.8924636692
Range2.364869998
Interquartile range (IQR)1.055103768

Descriptive statistics

Standard deviation0.8305489372
Coefficient of variation (CV)550.1237078
Kurtosis-0.5908983025
Mean0.001509749399
Median Absolute Deviation (MAD)0.6047177896
Skewness-0.6932468324
Sum0.01509749399
Variance0.689811537
MonotonicityNot monotonic
2025-03-30T10:44:52.570583image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.09462547261 1
10.0%
0.8924636692 1
10.0%
-1.158884322 1
10.0%
0.5861371935 1
10.0%
-0.4004545922 1
10.0%
0.2241024574 1
10.0%
-1.472406329 1
10.0%
0.8605775095 1
10.0%
0.7527753705 1
10.0%
-0.17458799 1
10.0%
ValueCountFrequency (%)
-1.472406329 1
10.0%
-1.158884322 1
10.0%
-0.4004545922 1
10.0%
-0.17458799 1
10.0%
-0.09462547261 1
10.0%
ValueCountFrequency (%)
0.8924636692 1
10.0%
0.8605775095 1
10.0%
0.7527753705 1
10.0%
0.5861371935 1
10.0%
0.2241024574 1
10.0%

aftret_eq
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1299304699
Minimum-1.921769476
Maximum2.048813619
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)40.0%
Memory size160.0 B
2025-03-30T10:44:53.044227image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.921769476
5-th percentile-1.838985927
Q1-1.108066482
median0.4155359595
Q31.473450051
95-th percentile2.003808195
Maximum2.048813619
Range3.970583096
Interquartile range (IQR)2.581516532

Descriptive statistics

Standard deviation1.519414509
Coefficient of variation (CV)11.69405844
Kurtosis-1.616869297
Mean0.1299304699
Median Absolute Deviation (MAD)1.51111853
Skewness-0.04369863838
Sum1.299304699
Variance2.308620449
MonotonicityNot monotonic
2025-03-30T10:44:53.508121image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-1.119610144 1
10.0%
-1.921769476 1
10.0%
0.3447765705 1
10.0%
-1.073435494 1
10.0%
2.048813619 1
10.0%
-1.737806034 1
10.0%
1.948801565 1
10.0%
0.4862953485 1
10.0%
0.5379580138 1
10.0%
1.78528073 1
10.0%
ValueCountFrequency (%)
-1.921769476 1
10.0%
-1.737806034 1
10.0%
-1.119610144 1
10.0%
-1.073435494 1
10.0%
0.3447765705 1
10.0%
ValueCountFrequency (%)
2.048813619 1
10.0%
1.948801565 1
10.0%
1.78528073 1
10.0%
0.5379580138 1
10.0%
0.4862953485 1
10.0%

aftret_invcapx
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.441580083
Minimum-1.61089842
Maximum0.895437923
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)70.0%
Memory size160.0 B
2025-03-30T10:44:53.958139image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.61089842
5-th percentile-1.480190314
Q1-1.170943244
median-0.6452012097
Q30.2036845334
95-th percentile0.8834986107
Maximum0.895437923
Range2.506336343
Interquartile range (IQR)1.374627778

Descriptive statistics

Standard deviation0.9019948026
Coefficient of variation (CV)-2.042652822
Kurtosis-1.212335086
Mean-0.441580083
Median Absolute Deviation (MAD)0.6519817847
Skewness0.4025164556
Sum-4.41580083
Variance0.813594624
MonotonicityNot monotonic
2025-03-30T10:44:54.361923image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.1411117868 1
10.0%
-0.4763536145 1
10.0%
-0.8619828966 1
10.0%
-1.320435962 1
10.0%
-1.273930027 1
10.0%
0.895437923 1
10.0%
-0.8140488048 1
10.0%
-1.61089842 1
10.0%
0.8689061178 1
10.0%
0.3186166402 1
10.0%
ValueCountFrequency (%)
-1.61089842 1
10.0%
-1.320435962 1
10.0%
-1.273930027 1
10.0%
-0.8619828966 1
10.0%
-0.8140488048 1
10.0%
ValueCountFrequency (%)
0.895437923 1
10.0%
0.8689061178 1
10.0%
0.3186166402 1
10.0%
-0.1411117868 1
10.0%
-0.4763536145 1
10.0%

aftret_equity
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2223137869
Minimum-1.051858592
Maximum1.639930656
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)50.0%
Memory size160.0 B
2025-03-30T10:44:54.793966image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.051858592
5-th percentile-0.714802668
Q1-0.2484615948
median-0.03746297493
Q30.8237620367
95-th percentile1.427322553
Maximum1.639930656
Range2.691789249
Interquartile range (IQR)1.072223631

Descriptive statistics

Standard deviation0.8135847728
Coefficient of variation (CV)3.659623562
Kurtosis-0.3477861032
Mean0.2223137869
Median Absolute Deviation (MAD)0.2974003499
Skewness0.4458035964
Sum2.223137869
Variance0.6619201825
MonotonicityNot monotonic
2025-03-30T10:44:55.254392image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1.001030958 1
10.0%
1.167468205 1
10.0%
0.2919552727 1
10.0%
-1.051858592 1
10.0%
-0.273114563 1
10.0%
1.639930656 1
10.0%
0.01679963581 1
10.0%
-0.17450269 1
10.0%
-0.09172558566 1
10.0%
-0.3028454272 1
10.0%
ValueCountFrequency (%)
-1.051858592 1
10.0%
-0.3028454272 1
10.0%
-0.273114563 1
10.0%
-0.17450269 1
10.0%
-0.09172558566 1
10.0%
ValueCountFrequency (%)
1.639930656 1
10.0%
1.167468205 1
10.0%
1.001030958 1
10.0%
0.2919552727 1
10.0%
0.01679963581 1
10.0%

GProf
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2285103957
Minimum-2.623149906
Maximum1.344221233
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)60.0%
Memory size160.0 B
2025-03-30T10:44:55.706180image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.623149906
5-th percentile-2.139868593
Q1-0.7419094458
median-0.09299836047
Q30.4721036528
95-th percentile1.294287297
Maximum1.344221233
Range3.967371138
Interquartile range (IQR)1.214013099

Descriptive statistics

Standard deviation1.228737684
Coefficient of variation (CV)-5.377163169
Kurtosis0.1802198261
Mean-0.2285103957
Median Absolute Deviation (MAD)0.6269551381
Skewness-0.6424798586
Sum-2.285103957
Variance1.509796295
MonotonicityNot monotonic
2025-03-30T10:44:56.213739image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.4763758378 1
10.0%
-1.549191434 1
10.0%
-2.623149906 1
10.0%
1.233256932 1
10.0%
-0.763865393 1
10.0%
1.344221233 1
10.0%
-0.1471980065 1
10.0%
-0.03879871444 1
10.0%
-0.6760416041 1
10.0%
0.4592870977 1
10.0%
ValueCountFrequency (%)
-2.623149906 1
10.0%
-1.549191434 1
10.0%
-0.763865393 1
10.0%
-0.6760416041 1
10.0%
-0.1471980065 1
10.0%
ValueCountFrequency (%)
1.344221233 1
10.0%
1.233256932 1
10.0%
0.4763758378 1
10.0%
0.4592870977 1
10.0%
-0.03879871444 1
10.0%

equity_invcap
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0254010182
Minimum-1.789615461
Maximum2.410384158
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)50.0%
Memory size160.0 B
2025-03-30T10:44:56.694900image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.789615461
5-th percentile-1.537561245
Q1-0.8857103085
median-0.322971203
Q30.9330370316
95-th percentile2.055728904
Maximum2.410384158
Range4.199999619
Interquartile range (IQR)1.81874734

Descriptive statistics

Standard deviation1.354535033
Coefficient of variation (CV)53.32601322
Kurtosis-0.7758230039
Mean0.0254010182
Median Absolute Deviation (MAD)0.8665812596
Skewness0.5140880661
Sum0.254010182
Variance1.834765155
MonotonicityNot monotonic
2025-03-30T10:44:57.109334image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.9247154995 1
10.0%
0.5036675388 1
10.0%
-0.7686947355 1
10.0%
0.06229523124 1
10.0%
1.076160196 1
10.0%
2.410384158 1
10.0%
-0.7082376372 1
10.0%
-1.22949498 1
10.0%
1.622261372 1
10.0%
-1.789615461 1
10.0%
ValueCountFrequency (%)
-1.789615461 1
10.0%
-1.22949498 1
10.0%
-0.9247154995 1
10.0%
-0.7686947355 1
10.0%
-0.7082376372 1
10.0%
ValueCountFrequency (%)
2.410384158 1
10.0%
1.622261372 1
10.0%
1.076160196 1
10.0%
0.5036675388 1
10.0%
0.06229523124 1
10.0%

debt_invcap
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.673897436
Minimum-0.8296738748
Maximum2.807455832
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)30.0%
Memory size160.0 B
2025-03-30T10:44:57.530193image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.8296738748
5-th percentile-0.8186840937
Q1-0.2111471634
median0.7243466932
Q31.336409387
95-th percentile2.306682231
Maximum2.807455832
Range3.637129707
Interquartile range (IQR)1.547556551

Descriptive statistics

Standard deviation1.159216655
Coefficient of variation (CV)1.720167779
Kurtosis-0.2927142137
Mean0.673897436
Median Absolute Deviation (MAD)0.8483575002
Skewness0.2988536765
Sum6.73897436
Variance1.343783254
MonotonicityNot monotonic
2025-03-30T10:44:58.016745image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1.694625609 1
10.0%
2.807455832 1
10.0%
0.3908746571 1
10.0%
1.450782778 1
10.0%
0.9267607076 1
10.0%
-0.805252139 1
10.0%
-0.8296738748 1
10.0%
0.5219326788 1
10.0%
-0.4118211036 1
10.0%
0.9932892151 1
10.0%
ValueCountFrequency (%)
-0.8296738748 1
10.0%
-0.805252139 1
10.0%
-0.4118211036 1
10.0%
0.3908746571 1
10.0%
0.5219326788 1
10.0%
ValueCountFrequency (%)
2.807455832 1
10.0%
1.694625609 1
10.0%
1.450782778 1
10.0%
0.9932892151 1
10.0%
0.9267607076 1
10.0%

totdebt_invcap
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2357258839
Minimum-1.395110344
Maximum0.3962863107
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)50.0%
Memory size160.0 B
2025-03-30T10:44:58.494411image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.395110344
5-th percentile-1.139256659
Q1-0.6240010955
median-0.03397750606
Q30.2376934237
95-th percentile0.3533291741
Maximum0.3962863107
Range1.791396655
Interquartile range (IQR)0.8616945193

Descriptive statistics

Standard deviation0.59018485
Coefficient of variation (CV)-2.503691323
Kurtosis-0.2000277977
Mean-0.2357258839
Median Absolute Deviation (MAD)0.382533665
Skewness-0.8450873856
Sum-2.357258839
Variance0.3483181572
MonotonicityNot monotonic
2025-03-30T10:44:59.013089image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.6558441374 1
10.0%
0.2656083941 1
10.0%
-1.395110344 1
10.0%
0.1539485127 1
10.0%
0.02729237666 1
10.0%
-0.09524738879 1
10.0%
0.300826007 1
10.0%
-0.8265465999 1
10.0%
-0.52847197 1
10.0%
0.3962863107 1
10.0%
ValueCountFrequency (%)
-1.395110344 1
10.0%
-0.8265465999 1
10.0%
-0.6558441374 1
10.0%
-0.52847197 1
10.0%
-0.09524738879 1
10.0%
ValueCountFrequency (%)
0.3962863107 1
10.0%
0.300826007 1
10.0%
0.2656083941 1
10.0%
0.1539485127 1
10.0%
0.02729237666 1
10.0%

capital_ratio
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3597271939
Minimum-1.173729147
Maximum1.923840495
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)30.0%
Memory size160.0 B
2025-03-30T10:44:59.514119image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.173729147
5-th percentile-1.095713149
Q1-0.3092952006
median0.5492846051
Q30.9986087183
95-th percentile1.583975152
Maximum1.923840495
Range3.097569643
Interquartile range (IQR)1.307903919

Descriptive statistics

Standard deviation0.9950897153
Coefficient of variation (CV)2.766234336
Kurtosis-0.7588441314
Mean0.3597271939
Median Absolute Deviation (MAD)0.5493356698
Skewness-0.2498916793
Sum3.597271939
Variance0.9902035415
MonotonicityNot monotonic
2025-03-30T10:44:59.990882image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.9220113252 1
10.0%
1.024141183 1
10.0%
-0.4356978799 1
10.0%
0.0699128375 1
10.0%
-1.173729147 1
10.0%
0.3709047163 1
10.0%
1.168584177 1
10.0%
1.923840495 1
10.0%
-1.000360262 1
10.0%
0.7276644939 1
10.0%
ValueCountFrequency (%)
-1.173729147 1
10.0%
-1.000360262 1
10.0%
-0.4356978799 1
10.0%
0.0699128375 1
10.0%
0.3709047163 1
10.0%
ValueCountFrequency (%)
1.923840495 1
10.0%
1.168584177 1
10.0%
1.024141183 1
10.0%
0.9220113252 1
10.0%
0.7276644939 1
10.0%

cash_lt
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1513349012
Minimum-0.7851849004
Maximum2.082283256
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)40.0%
Memory size160.0 B
2025-03-30T10:45:00.451988image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.7851849004
5-th percentile-0.7541335704
Q1-0.6594554086
median0.09928548754
Q30.3592931684
95-th percentile1.738949124
Maximum2.082283256
Range2.867468157
Interquartile range (IQR)1.018748577

Descriptive statistics

Standard deviation0.9405496163
Coefficient of variation (CV)6.215021182
Kurtosis0.6356611897
Mean0.1513349012
Median Absolute Deviation (MAD)0.7025644535
Skewness1.071497852
Sum1.513349012
Variance0.8846335806
MonotonicityNot monotonic
2025-03-30T10:45:00.929016image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
2.082283256 1
10.0%
0.213065221 1
10.0%
-0.7161819448 1
10.0%
0.4080358176 1
10.0%
0.09452454981 1
10.0%
-0.7851849004 1
10.0%
-0.4909260807 1
10.0%
-0.7156318512 1
10.0%
1.319318519 1
10.0%
0.1040464253 1
10.0%
ValueCountFrequency (%)
-0.7851849004 1
10.0%
-0.7161819448 1
10.0%
-0.7156318512 1
10.0%
-0.4909260807 1
10.0%
0.09452454981 1
10.0%
ValueCountFrequency (%)
2.082283256 1
10.0%
1.319318519 1
10.0%
0.4080358176 1
10.0%
0.213065221 1
10.0%
0.1040464253 1
10.0%

debt_at
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.6344769281
Minimum-1.548088025
Maximum0.1222502314
Zeros0
Zeros (%)0.0%
Negative9
Negative (%)90.0%
Memory size160.0 B
2025-03-30T10:45:01.423123image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.548088025
5-th percentile-1.335349998
Q1-0.9480435821
median-0.653594075
Q3-0.2496288515
95-th percentile0.005823018075
Maximum0.1222502314
Range1.670338257
Interquartile range (IQR)0.6984147306

Descriptive statistics

Standard deviation0.5047859014
Coefficient of variation (CV)-0.795593786
Kurtosis-0.3807905093
Mean-0.6344769281
Median Absolute Deviation (MAD)0.3710532285
Skewness-0.2663968644
Sum-6.344769281
Variance0.2548088062
MonotonicityNot monotonic
2025-03-30T10:45:01.933098image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.5805492718 1
10.0%
-0.9736184108 1
10.0%
-0.8713190962 1
10.0%
-0.7266388782 1
10.0%
-1.075336854 1
10.0%
-0.2217616696 1
10.0%
0.1222502314 1
10.0%
-0.1364769093 1
10.0%
-1.548088025 1
10.0%
-0.3332303972 1
10.0%
ValueCountFrequency (%)
-1.548088025 1
10.0%
-1.075336854 1
10.0%
-0.9736184108 1
10.0%
-0.8713190962 1
10.0%
-0.7266388782 1
10.0%
ValueCountFrequency (%)
0.1222502314 1
10.0%
-0.1364769093 1
10.0%
-0.2217616696 1
10.0%
-0.3332303972 1
10.0%
-0.5805492718 1
10.0%

debt_ebitda
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.005358133209
Minimum-2.185622594
Maximum1.662332745
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)50.0%
Memory size160.0 B
2025-03-30T10:45:02.401418image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.185622594
5-th percentile-1.584375
Q1-0.6916788521
median0.1374375686
Q30.4283089959
95-th percentile1.624456128
Maximum1.662332745
Range3.847955338
Interquartile range (IQR)1.119987848

Descriptive statistics

Standard deviation1.158626703
Coefficient of variation (CV)-216.2370098
Kurtosis0.2148271082
Mean-0.005358133209
Median Absolute Deviation (MAD)0.8115057029
Skewness-0.2491043329
Sum-0.05358133209
Variance1.342415837
MonotonicityNot monotonic
2025-03-30T10:45:02.910037image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.6388466986 1
10.0%
-0.01310040473 1
10.0%
0.2879755419 1
10.0%
1.578162485 1
10.0%
1.662332745 1
10.0%
0.4494559945 1
10.0%
0.364868 1
10.0%
-2.185622594 1
10.0%
-0.70928957 1
10.0%
-0.8495168312 1
10.0%
ValueCountFrequency (%)
-2.185622594 1
10.0%
-0.8495168312 1
10.0%
-0.70928957 1
10.0%
-0.6388466986 1
10.0%
-0.01310040473 1
10.0%
ValueCountFrequency (%)
1.662332745 1
10.0%
1.578162485 1
10.0%
0.4494559945 1
10.0%
0.364868 1
10.0%
0.2879755419 1
10.0%

lt_debt
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.5330349248
Minimum-2.492690221
Maximum1.047212825
Zeros0
Zeros (%)0.0%
Negative9
Negative (%)90.0%
Memory size160.0 B
2025-03-30T10:45:03.411434image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.492690221
5-th percentile-1.795343277
Q1-0.8429679366
median-0.4786237711
Q3-0.1449742742
95-th percentile0.5733362165
Maximum1.047212825
Range3.539903046
Interquartile range (IQR)0.6979936624

Descriptive statistics

Standard deviation0.8951294987
Coefficient of variation (CV)-1.679307409
Kurtosis2.851239592
Mean-0.5330349248
Median Absolute Deviation (MAD)0.410340243
Skewness-0.6682690474
Sum-5.330349248
Variance0.8012568195
MonotonicityNot monotonic
2025-03-30T10:45:03.903729image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.6610851292 1
10.0%
-0.5901084061 1
10.0%
-0.00584630505 1
10.0%
-0.3311519378 1
10.0%
-0.903595539 1
10.0%
-0.082915053 1
10.0%
1.047212825 1
10.0%
-2.492690221 1
10.0%
-0.9430303456 1
10.0%
-0.3671391361 1
10.0%
ValueCountFrequency (%)
-2.492690221 1
10.0%
-0.9430303456 1
10.0%
-0.903595539 1
10.0%
-0.6610851292 1
10.0%
-0.5901084061 1
10.0%
ValueCountFrequency (%)
1.047212825 1
10.0%
-0.00584630505 1
10.0%
-0.082915053 1
10.0%
-0.3311519378 1
10.0%
-0.3671391361 1
10.0%

cash_debt
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4164149693
Minimum-1.232251995
Maximum1.453509302
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)30.0%
Memory size160.0 B
2025-03-30T10:45:04.393614image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.232251995
5-th percentile-0.7381336379
Q10.02861121828
median0.5560038392
Q30.8843083706
95-th percentile1.319206967
Maximum1.453509302
Range2.685761297
Interquartile range (IQR)0.8556971523

Descriptive statistics

Standard deviation0.7721621347
Coefficient of variation (CV)1.854309263
Kurtosis1.224606762
Mean0.4164149693
Median Absolute Deviation (MAD)0.4911650686
Skewness-0.913596721
Sum4.164149693
Variance0.5962343622
MonotonicityNot monotonic
2025-03-30T10:45:04.877007image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-1.232251995 1
10.0%
0.7519213094 1
10.0%
-0.1342112014 1
10.0%
0.9284373909 1
10.0%
1.453509302 1
10.0%
0.1372938753 1
10.0%
0.3943808606 1
10.0%
0.7176268178 1
10.0%
-0.007616334079 1
10.0%
1.155059668 1
10.0%
ValueCountFrequency (%)
-1.232251995 1
10.0%
-0.1342112014 1
10.0%
-0.007616334079 1
10.0%
0.1372938753 1
10.0%
0.3943808606 1
10.0%
ValueCountFrequency (%)
1.453509302 1
10.0%
1.155059668 1
10.0%
0.9284373909 1
10.0%
0.7519213094 1
10.0%
0.7176268178 1
10.0%

lt_ppent
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05456205291
Minimum-1.254493053
Maximum1.022476128
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)40.0%
Memory size160.0 B
2025-03-30T10:45:05.328285image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.254493053
5-th percentile-1.022309808
Q1-0.360463941
median0.07051511178
Q30.4640556324
95-th percentile1.006197036
Maximum1.022476128
Range2.27696918
Interquartile range (IQR)0.8245195734

Descriptive statistics

Standard deviation0.7267971914
Coefficient of variation (CV)13.32056168
Kurtosis-0.3614176463
Mean0.05456205291
Median Absolute Deviation (MAD)0.462084013
Skewness-0.3719900961
Sum0.5456205291
Variance0.5282341574
MonotonicityNot monotonic
2025-03-30T10:45:05.782725image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.08714500272 1
10.0%
1.022476128 1
10.0%
-0.455701609 1
10.0%
0.4508232785 1
10.0%
-0.07475093709 1
10.0%
0.05388522083 1
10.0%
0.468466417 1
10.0%
-1.254493053 1
10.0%
0.9863003687 1
10.0%
-0.7385302876 1
10.0%
ValueCountFrequency (%)
-1.254493053 1
10.0%
-0.7385302876 1
10.0%
-0.455701609 1
10.0%
-0.07475093709 1
10.0%
0.05388522083 1
10.0%
ValueCountFrequency (%)
1.022476128 1
10.0%
0.9863003687 1
10.0%
0.468466417 1
10.0%
0.4508232785 1
10.0%
0.08714500272 1
10.0%

dltt_be
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01584683513
Minimum-1.909895168
Maximum2.050768819
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)40.0%
Memory size160.0 B
2025-03-30T10:45:06.230453image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.909895168
5-th percentile-1.679171883
Q1-0.8376435718
median0.1821416878
Q30.7571566648
95-th percentile1.751920392
Maximum2.050768819
Range3.960663988
Interquartile range (IQR)1.594800237

Descriptive statistics

Standard deviation1.245466274
Coefficient of variation (CV)78.59400719
Kurtosis-0.7150761936
Mean0.01584683513
Median Absolute Deviation (MAD)0.9598022897
Skewness0.05149252075
Sum0.1584683513
Variance1.551186241
MonotonicityNot monotonic
2025-03-30T10:45:06.799618image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-1.909895168 1
10.0%
0.3144087952 1
10.0%
2.050768819 1
10.0%
0.904739288 1
10.0%
-0.8976265418 1
10.0%
0.101985689 1
10.0%
-0.6576946621 1
10.0%
1.386661203 1
10.0%
0.2622976867 1
10.0%
-1.397176757 1
10.0%
ValueCountFrequency (%)
-1.909895168 1
10.0%
-1.397176757 1
10.0%
-0.8976265418 1
10.0%
-0.6576946621 1
10.0%
0.101985689 1
10.0%
ValueCountFrequency (%)
2.050768819 1
10.0%
1.386661203 1
10.0%
0.904739288 1
10.0%
0.3144087952 1
10.0%
0.2622976867 1
10.0%

debt_assets
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01296388985
Minimum-1.366804395
Maximum1.099156483
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)40.0%
Memory size160.0 B
2025-03-30T10:45:07.356872image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.366804395
5-th percentile-1.113552113
Q1-0.3023407219
median0.1576104475
Q30.4312350651
95-th percentile0.8732230177
Maximum1.099156483
Range2.465960878
Interquartile range (IQR)0.7335757869

Descriptive statistics

Standard deviation0.7164689818
Coefficient of variation (CV)55.26651259
Kurtosis0.3404729827
Mean0.01296388985
Median Absolute Deviation (MAD)0.3882452548
Skewness-0.6067447429
Sum0.1296388985
Variance0.5133278019
MonotonicityNot monotonic
2025-03-30T10:45:07.880416image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-1.366804395 1
10.0%
1.099156483 1
10.0%
-0.1794083937 1
10.0%
0.3551277246 1
10.0%
0.2209902477 1
10.0%
0.0942306473 1
10.0%
0.5970821159 1
10.0%
-0.3433181646 1
10.0%
0.4566041786 1
10.0%
-0.8040215451 1
10.0%
ValueCountFrequency (%)
-1.366804395 1
10.0%
-0.8040215451 1
10.0%
-0.3433181646 1
10.0%
-0.1794083937 1
10.0%
0.0942306473 1
10.0%
ValueCountFrequency (%)
1.099156483 1
10.0%
0.5970821159 1
10.0%
0.4566041786 1
10.0%
0.3551277246 1
10.0%
0.2209902477 1
10.0%

debt_capital
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.01615372581
Minimum-1.430966431
Maximum1.076884931
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)60.0%
Memory size160.0 B
2025-03-30T10:45:08.310913image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.430966431
5-th percentile-1.057648741
Q1-0.3961895227
median-0.06631388963
Q30.5646442108
95-th percentile0.9294387428
Maximum1.076884931
Range2.507851362
Interquartile range (IQR)0.9608337335

Descriptive statistics

Standard deviation0.7392185992
Coefficient of variation (CV)-45.76149229
Kurtosis0.1698948918
Mean-0.01615372581
Median Absolute Deviation (MAD)0.4507198879
Skewness-0.3505619232
Sum-0.1615372581
Variance0.5464441374
MonotonicityNot monotonic
2025-03-30T10:45:08.788625image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.09665130159 1
10.0%
-0.2866701191 1
10.0%
-0.6013715645 1
10.0%
-0.4326959906 1
10.0%
0.2157360186 1
10.0%
0.7492267352 1
10.0%
0.6809469416 1
10.0%
1.076884931 1
10.0%
-1.430966431 1
10.0%
-0.03597647768 1
10.0%
ValueCountFrequency (%)
-1.430966431 1
10.0%
-0.6013715645 1
10.0%
-0.4326959906 1
10.0%
-0.2866701191 1
10.0%
-0.09665130159 1
10.0%
ValueCountFrequency (%)
1.076884931 1
10.0%
0.7492267352 1
10.0%
0.6809469416 1
10.0%
0.2157360186 1
10.0%
-0.03597647768 1
10.0%

de_ratio
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.471969517
Minimum-0.4543385997
Maximum2.044914469
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)30.0%
Memory size160.0 B
2025-03-30T10:45:09.237243image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.4543385997
5-th percentile-0.4314322976
Q1-0.1801723851
median0.4491477065
Q30.7742019683
95-th percentile1.706958315
Maximum2.044914469
Range2.499253068
Interquartile range (IQR)0.9543743534

Descriptive statistics

Standard deviation0.7906415586
Coefficient of variation (CV)1.675196236
Kurtosis0.3090456702
Mean0.471969517
Median Absolute Deviation (MAD)0.5820814212
Skewness0.7073945796
Sum4.71969517
Variance0.6251140742
MonotonicityNot monotonic
2025-03-30T10:45:09.729121image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.3435904805 1
10.0%
0.5737439605 1
10.0%
1.293900794 1
10.0%
0.5547049325 1
10.0%
2.044914469 1
10.0%
0.2487350741 1
10.0%
-0.4543385997 1
10.0%
-0.403435706 1
10.0%
-0.3231415381 1
10.0%
0.8410213042 1
10.0%
ValueCountFrequency (%)
-0.4543385997 1
10.0%
-0.403435706 1
10.0%
-0.3231415381 1
10.0%
0.2487350741 1
10.0%
0.3435904805 1
10.0%
ValueCountFrequency (%)
2.044914469 1
10.0%
1.293900794 1
10.0%
0.8410213042 1
10.0%
0.5737439605 1
10.0%
0.5547049325 1
10.0%

at_turn
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3038792099
Minimum-0.8695223684
Maximum2.055848532
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)50.0%
Memory size160.0 B
2025-03-30T10:45:10.158773image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.8695223684
5-th percentile-0.7213060873
Q1-0.3698706847
median0.0382661509
Q30.5808842901
95-th percentile1.99351204
Maximum2.055848532
Range2.925370901
Interquartile range (IQR)0.9507549748

Descriptive statistics

Standard deviation0.9948244843
Coefficient of variation (CV)3.27374974
Kurtosis-0.1028293793
Mean0.3038792099
Median Absolute Deviation (MAD)0.5179443134
Skewness0.9556093321
Sum3.038792099
Variance0.9896757545
MonotonicityNot monotonic
2025-03-30T10:45:11.179540image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.8695223684 1
10.0%
0.3979903585 1
10.0%
0.2404773899 1
10.0%
-0.1639450881 1
10.0%
0.641848934 1
10.0%
-0.5401528549 1
10.0%
-0.4192034701 1
10.0%
1.917322994 1
10.0%
2.055848532 1
10.0%
-0.2218723283 1
10.0%
ValueCountFrequency (%)
-0.8695223684 1
10.0%
-0.5401528549 1
10.0%
-0.4192034701 1
10.0%
-0.2218723283 1
10.0%
-0.1639450881 1
10.0%
ValueCountFrequency (%)
2.055848532 1
10.0%
1.917322994 1
10.0%
0.641848934 1
10.0%
0.3979903585 1
10.0%
0.2404773899 1
10.0%

rect_turn
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1602288716
Minimum-1.093685862
Maximum1.53190683
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)50.0%
Memory size160.0 B
2025-03-30T10:45:11.783494image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.093685862
5-th percentile-0.9199365757
Q1-0.1314892586
median0.08418427827
Q30.4791255805
95-th percentile1.349707873
Maximum1.53190683
Range2.625592692
Interquartile range (IQR)0.610614839

Descriptive statistics

Standard deviation0.7832675115
Coefficient of variation (CV)4.888429306
Kurtosis0.004777882551
Mean0.1602288716
Median Absolute Deviation (MAD)0.3453318295
Skewness0.249351626
Sum1.602288716
Variance0.6135079946
MonotonicityNot monotonic
2025-03-30T10:45:12.342205image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-1.093685862 1
10.0%
1.127020259 1
10.0%
1.53190683 1
10.0%
0.2697893199 1
10.0%
0.548904334 1
10.0%
-0.1417593249 1
10.0%
-0.1006790594 1
10.0%
-0.7075763366 1
10.0%
-0.06762220807 1
10.0%
0.2359907646 1
10.0%
ValueCountFrequency (%)
-1.093685862 1
10.0%
-0.7075763366 1
10.0%
-0.1417593249 1
10.0%
-0.1006790594 1
10.0%
-0.06762220807 1
10.0%
ValueCountFrequency (%)
1.53190683 1
10.0%
1.127020259 1
10.0%
0.548904334 1
10.0%
0.2697893199 1
10.0%
0.2359907646 1
10.0%

pay_turn
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2475395785
Minimum-1.943656728
Maximum1.105885824
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)60.0%
Memory size160.0 B
2025-03-30T10:45:12.817830image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.943656728
5-th percentile-1.557135695
Q1-0.8469591543
median-0.2157466116
Q30.4548758863
95-th percentile0.8923744132
Maximum1.105885824
Range3.049542552
Interquartile range (IQR)1.301835041

Descriptive statistics

Standard deviation0.9335266275
Coefficient of variation (CV)-3.771221689
Kurtosis-0.4925358652
Mean-0.2475395785
Median Absolute Deviation (MAD)0.6796967209
Skewness-0.3473385192
Sum-2.475395785
Variance0.8714719643
MonotonicityNot monotonic
2025-03-30T10:45:13.264584image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-1.0847211 1
10.0%
0.3920432512 1
10.0%
0.6314160223 1
10.0%
0.475820098 1
10.0%
1.105885824 1
10.0%
-0.7371165856 1
10.0%
-0.01242847842 1
10.0%
-1.943656728 1
10.0%
-0.4190647448 1
10.0%
-0.8835733439 1
10.0%
ValueCountFrequency (%)
-1.943656728 1
10.0%
-1.0847211 1
10.0%
-0.8835733439 1
10.0%
-0.7371165856 1
10.0%
-0.4190647448 1
10.0%
ValueCountFrequency (%)
1.105885824 1
10.0%
0.6314160223 1
10.0%
0.475820098 1
10.0%
0.3920432512 1
10.0%
-0.01242847842 1
10.0%

sale_invcap
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.02502993533
Minimum-1.264347532
Maximum1.555136678
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)50.0%
Memory size160.0 B
2025-03-30T10:45:13.768057image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.264347532
5-th percentile-1.191571476
Q1-0.3493032144
median-0.07397275491
Q30.4142359805
95-th percentile1.139680833
Maximum1.555136678
Range2.81948421
Interquartile range (IQR)0.7635391948

Descriptive statistics

Standard deviation0.8293935139
Coefficient of variation (CV)-33.136063
Kurtosis0.3712443467
Mean-0.02502993533
Median Absolute Deviation (MAD)0.4574587124
Skewness0.2804391886
Sum-0.2502993533
Variance0.687893601
MonotonicityNot monotonic
2025-03-30T10:45:14.231286image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-1.102622963 1
10.0%
0.01197184776 1
10.0%
0.6319014676 1
10.0%
-1.264347532 1
10.0%
0.3219859116 1
10.0%
-0.3539097242 1
10.0%
0.4449860034 1
10.0%
-0.1599173576 1
10.0%
-0.3354836848 1
10.0%
1.555136678 1
10.0%
ValueCountFrequency (%)
-1.264347532 1
10.0%
-1.102622963 1
10.0%
-0.3539097242 1
10.0%
-0.3354836848 1
10.0%
-0.1599173576 1
10.0%
ValueCountFrequency (%)
1.555136678 1
10.0%
0.6319014676 1
10.0%
0.4449860034 1
10.0%
0.3219859116 1
10.0%
0.01197184776 1
10.0%

sale_equity
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.08034132093
Minimum-0.8891611632
Maximum1.221843348
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)50.0%
Memory size160.0 B
2025-03-30T10:45:14.678766image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.8891611632
5-th percentile-0.8833190452
Q1-0.6985103714
median-0.2346514588
Q30.3228419008
95-th percentile1.091835189
Maximum1.221843348
Range2.111004511
Interquartile range (IQR)1.021352272

Descriptive statistics

Standard deviation0.7590146477
Coefficient of variation (CV)-9.447375758
Kurtosis-0.9932969052
Mean-0.08034132093
Median Absolute Deviation (MAD)0.5425704186
Skewness0.5848053105
Sum-0.8034132093
Variance0.5761032354
MonotonicityNot monotonic
2025-03-30T10:45:15.091609image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.8891611632 1
10.0%
0.3477894796 1
10.0%
-0.5819874129 1
10.0%
-0.8761786788 1
10.0%
0.2479991646 1
10.0%
1.221843348 1
10.0%
-0.7373513576 1
10.0%
0.932936329 1
10.0%
-0.5111729679 1
10.0%
0.04187005027 1
10.0%
ValueCountFrequency (%)
-0.8891611632 1
10.0%
-0.8761786788 1
10.0%
-0.7373513576 1
10.0%
-0.5819874129 1
10.0%
-0.5111729679 1
10.0%
ValueCountFrequency (%)
1.221843348 1
10.0%
0.932936329 1
10.0%
0.3477894796 1
10.0%
0.2479991646 1
10.0%
0.04187005027 1
10.0%

rd_sale
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4583566979
Minimum-0.727331857
Maximum2.06302409
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)40.0%
Memory size160.0 B
2025-03-30T10:45:15.497506image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.727331857
5-th percentile-0.4884367234
Q1-0.1771246525
median0.4106265982
Q30.8894757206
95-th percentile1.683331741
Maximum2.06302409
Range2.790355947
Interquartile range (IQR)1.066600373

Descriptive statistics

Standard deviation0.8238788928
Coefficient of variation (CV)1.797462318
Kurtosis0.1536526178
Mean0.4583566979
Median Absolute Deviation (MAD)0.571803471
Skewness0.5669351422
Sum4.583566979
Variance0.6787764299
MonotonicityNot monotonic
2025-03-30T10:45:15.910672image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1.219263313 1
10.0%
2.06302409 1
10.0%
0.4912601685 1
10.0%
-0.1292813134 1
10.0%
0.8102972058 1
10.0%
0.9158685588 1
10.0%
-0.727331857 1
10.0%
-0.1964537824 1
10.0%
0.3299930278 1
10.0%
-0.1930724322 1
10.0%
ValueCountFrequency (%)
-0.727331857 1
10.0%
-0.1964537824 1
10.0%
-0.1930724322 1
10.0%
-0.1292813134 1
10.0%
0.3299930278 1
10.0%
ValueCountFrequency (%)
2.06302409 1
10.0%
1.219263313 1
10.0%
0.9158685588 1
10.0%
0.8102972058 1
10.0%
0.4912601685 1
10.0%

adv_sale
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1927655045
Minimum-1.106132429
Maximum1.698926155
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)70.0%
Memory size160.0 B
2025-03-30T10:45:16.337321image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.106132429
5-th percentile-1.07631915
Q1-0.641209349
median-0.4686706096
Q30.1572782271
95-th percentile1.27591414
Maximum1.698926155
Range2.805058584
Interquartile range (IQR)0.798487576

Descriptive statistics

Standard deviation0.8749707942
Coefficient of variation (CV)-4.53904238
Kurtosis1.248429688
Mean-0.1927655045
Median Absolute Deviation (MAD)0.3725946037
Skewness1.279089151
Sum-1.927655045
Variance0.7655738907
MonotonicityNot monotonic
2025-03-30T10:45:16.744143image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.6368882119 1
10.0%
-0.3484390052 1
10.0%
-0.4013162963 1
10.0%
-1.039880699 1
10.0%
1.698926155 1
10.0%
-1.106132429 1
10.0%
0.3258506379 1
10.0%
0.7588994549 1
10.0%
-0.642649728 1
10.0%
-0.5360249229 1
10.0%
ValueCountFrequency (%)
-1.106132429 1
10.0%
-1.039880699 1
10.0%
-0.642649728 1
10.0%
-0.6368882119 1
10.0%
-0.5360249229 1
10.0%
ValueCountFrequency (%)
1.698926155 1
10.0%
0.7588994549 1
10.0%
0.3258506379 1
10.0%
-0.3484390052 1
10.0%
-0.4013162963 1
10.0%

staff_sale
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3063242374
Minimum-0.7575183962
Maximum1.35925277
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)40.0%
Memory size160.0 B
2025-03-30T10:45:17.153252image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.7575183962
5-th percentile-0.7511102531
Q1-0.5055892085
median0.5963488181
Q30.8749676341
95-th percentile1.208015509
Maximum1.35925277
Range2.116771166
Interquartile range (IQR)1.380556843

Descriptive statistics

Standard deviation0.7990309637
Coefficient of variation (CV)2.608448389
Kurtosis-1.641840634
Mean0.3063242374
Median Absolute Deviation (MAD)0.5671193635
Skewness-0.356766462
Sum3.063242374
Variance0.638450481
MonotonicityNot monotonic
2025-03-30T10:45:17.603453image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1.023169969 1
10.0%
0.4843052902 1
10.0%
-0.7432780782 1
10.0%
0.8813936399 1
10.0%
0.8556896168 1
10.0%
-0.6370960254 1
10.0%
1.35925277 1
10.0%
-0.1110687579 1
10.0%
-0.7575183962 1
10.0%
0.708392346 1
10.0%
ValueCountFrequency (%)
-0.7575183962 1
10.0%
-0.7432780782 1
10.0%
-0.6370960254 1
10.0%
-0.1110687579 1
10.0%
0.4843052902 1
10.0%
ValueCountFrequency (%)
1.35925277 1
10.0%
1.023169969 1
10.0%
0.8813936399 1
10.0%
0.8556896168 1
10.0%
0.708392346 1
10.0%

accrual
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1866314755
Minimum-0.9291924494
Maximum1.164024088
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)40.0%
Memory size160.0 B
2025-03-30T10:45:17.986294image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.9291924494
5-th percentile-0.8538861408
Q1-0.6073502711
median0.2375092151
Q31.023110444
95-th percentile1.163546962
Maximum1.164024088
Range2.093216538
Interquartile range (IQR)1.630460715

Descriptive statistics

Standard deviation0.8366038161
Coefficient of variation (CV)4.482651245
Kurtosis-1.764759947
Mean0.1866314755
Median Absolute Deviation (MAD)0.9198846383
Skewness-0.05079096849
Sum1.866314755
Variance0.6999059452
MonotonicityNot monotonic
2025-03-30T10:45:18.386235image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.07741495574 1
10.0%
-0.761845097 1
10.0%
0.6369700783 1
10.0%
-0.3354714608 1
10.0%
0.3976034745 1
10.0%
1.162963808 1
10.0%
1.164024088 1
10.0%
1.151823899 1
10.0%
-0.9291924494 1
10.0%
-0.6979765412 1
10.0%
ValueCountFrequency (%)
-0.9291924494 1
10.0%
-0.761845097 1
10.0%
-0.6979765412 1
10.0%
-0.3354714608 1
10.0%
0.07741495574 1
10.0%
ValueCountFrequency (%)
1.164024088 1
10.0%
1.162963808 1
10.0%
1.151823899 1
10.0%
0.6369700783 1
10.0%
0.3976034745 1
10.0%
Distinct3
Distinct (%)30.0%
Missing0
Missing (%)0.0%
Memory size160.0 B
2025-03-30T10:45:18.902524image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length105
Median length94
Mean length94
Min length83

Characters and Unicode

Total characters940
Distinct characters28
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowThe outlook remains positive, with expected growth in both domestic and international markets.
2nd rowThe company reported a steady increase in revenue, reflecting strong market demand.
3rd rowThe outlook remains positive, with expected growth in both domestic and international markets.
4th rowThe outlook remains positive, with expected growth in both domestic and international markets.
5th rowThe outlook remains positive, with expected growth in both domestic and international markets.
ValueCountFrequency (%)
in 12
 
9.2%
the 10
 
7.7%
outlook 6
 
4.6%
remains 6
 
4.6%
with 6
 
4.6%
positive 6
 
4.6%
expected 6
 
4.6%
growth 6
 
4.6%
both 6
 
4.6%
domestic 6
 
4.6%
Other values (24) 60
46.2%
2025-03-30T10:45:20.042767image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
120
12.8%
e 102
10.9%
t 84
 
8.9%
i 80
 
8.5%
n 68
 
7.2%
o 58
 
6.2%
a 52
 
5.5%
r 46
 
4.9%
s 46
 
4.9%
h 32
 
3.4%
Other values (18) 252
26.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 940
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
120
12.8%
e 102
10.9%
t 84
 
8.9%
i 80
 
8.5%
n 68
 
7.2%
o 58
 
6.2%
a 52
 
5.5%
r 46
 
4.9%
s 46
 
4.9%
h 32
 
3.4%
Other values (18) 252
26.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 940
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
120
12.8%
e 102
10.9%
t 84
 
8.9%
i 80
 
8.5%
n 68
 
7.2%
o 58
 
6.2%
a 52
 
5.5%
r 46
 
4.9%
s 46
 
4.9%
h 32
 
3.4%
Other values (18) 252
26.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 940
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
120
12.8%
e 102
10.9%
t 84
 
8.9%
i 80
 
8.5%
n 68
 
7.2%
o 58
 
6.2%
a 52
 
5.5%
r 46
 
4.9%
s 46
 
4.9%
h 32
 
3.4%
Other values (18) 252
26.8%